Verified IEEE 2026 Project Catalog
Explore complete source code packages, IEEE journal paper synopses, and database schemas across 16 technical divisions with 1-on-1 AnyDesk/Zoom live installation support.
[1CP0624] Sales Forecasting for Walmart Using Machine Learning Techniques with Python
This project aims to predict Walmart’s future sales by analyzing historical sales data using machine learning techniques. It helps in identifying sales patterns, optimizing inventory, and improving business decision-making.
[1CP0620] Detection of Malaria in Python Using Logistic Regression and Convolutional Neural Networks (CNN) with Deep Learning Techniques
This project detects malaria infection from blood cell images using Logistic Regression and Convolutional Neural Networks (CNN) in Python. It aims to provide fast and accurate diagnosis support for medical practitioners.
[1CP0618] Forecasting Stock Market Trends Using Machine Learning and Deep Learning Algorithms with Python
This project focuses on predicting stock market trends by analyzing historical data using machine learning and deep learning algorithms. It aims to assist investors in making informed financial decisions based on data-driven insights.
[1CP0617] A Survey Analysis of Insurance Datasets in E-commerce Utilizing Machine Learning Techniques with Python
A survey-based machine learning analysis is performed on an e-commerce insurance dataset to understand customer purchase behavior and identify key factors influencing insurance buying decisions.
[1CP0616] Recognition of Handwritten Line Text Through Deep Learning and Flask Framework Utilizing Python
This project focuses on automatically recognizing handwritten text from scanned lines using deep learning models such as CNNs and RNNs. It improves text extraction accuracy by learning writing variations and enables real-time recognition through a simple and efficient system.
[1CP0614] Evaluation-Based Methods for Predicting Liver Disease Using Machine Learning Algorithms with Python
This project focuses on predicting liver disease using machine learning algorithms by analyzing medical and clinical data. It evaluates multiple models to identify the most accurate and reliable approach for early diagnosis.
[1CP0613] Lung Cancer Diagnosis Based on CT Scans Through Deep Learning and a Web Application Utilizing Python
This project utilizes deep learning models to analyze CT scan images for accurate and early detection of lung cancer. It also provides a web-based application for users to upload scans and view diagnostic results in real time.
[1CP0612] Color Detection Utilizing Machine Learning Techniques with Python
This project uses machine learning algorithms to identify and classify colors from images accurately. It enables automated color recognition for applications in image processing, design, and computer vision.
[1CP0611] Signature Verification Utilizing Deep Learning Methods in Python
This project verifies handwritten signatures using Deep Learning techniques to distinguish between genuine and forged samples. It enhances document authentication and security through automated signature validation.
[1CP0610] Twitter Sentiment Analysis for Detecting Hate Speech Utilizing Machine Learning Algorithms in Python
This project analyzes Twitter data using Machine Learning algorithms to detect hate speech through sentiment classification. It helps in identifying offensive or harmful content to promote safer online communication.
[1CP0609] Sentiment Analysis for Predicting Election Results Utilizing Machine Learning in Python
This project performs sentiment analysis on social media data using Python to predict election outcomes. It classifies public opinions as positive, negative, or neutral to estimate candidate popularity and overall trends.
[1CP0608] Recommendation System Utilizing Fuzzy Logic for Tourism Management with the Django Framework in Python
This project develops a tourism recommendation system using Fuzzy Logic to suggest destinations based on user preferences. The system is implemented using the Django framework, providing an interactive and user-friendly web interface.
[1CP0607] Prediction of Remaining Useful Life of Lithium-Ion Batteries Based on Artificial Intelligence, Machine Learning, and Deep Learning in Python
This project predicts the remaining useful life (RUL) of lithium-ion batteries using Artificial Intelligence techniques. It analyzes battery performance data to enhance reliability, optimize maintenance, and extend battery lifespan.
[1CP0606] Prediction of Cardiac Disease Utilizing Machine Learning in Tkinter with Python
This project predicts the likelihood of cardiac diseases using Machine Learning algorithms based on patient health data. A Tkinter-based GUI is developed to provide an easy and interactive platform for disease prediction.
[1CP0605] Predicting the Accuracy of Global Mean Temperature Utilizing Machine Learning in Python
This project predicts the accuracy of global mean temperature trends using Machine Learning algorithms. It analyzes historical climate data to forecast temperature variations and improve climate change assessments.
[1CP0604] Plant Leaf Disease Detection Method Utilizing the Flask Framework with Python
This project detects and classifies plant leaf diseases using image processing and Machine Learning techniques. A Flask web framework is used to build an interactive platform for real-time disease prediction and analysis.
[1CP0603] Plant Leaf Detection and Natural Farming Method Utilizing the Flask Framework with Python
This project identifies plant leaves and detects diseases using image processing and Machine Learning techniques. It integrates a Flask-based web application that promotes natural farming methods by providing accurate plant health insights.
[1CP0602] Phishing URL Detection Utilizing Machine Learning and Web Application in Python
This project detects phishing URLs using Machine Learning techniques that analyze URL features to classify them as legitimate or malicious. A web application is built to allow users to check website safety in real time.
[1CP0601] People Identification via Facial Recognition Utilizing Deep Learning in Python
This project identifies individuals using facial recognition powered by Deep Learning algorithms. It enhances security and automation by accurately detecting and recognizing human faces in real time.
[1CP0571] Visualization of PhonePe Pulse Data Through Streamlit in Python
This project visualizes PhonePe Pulse data using Streamlit in Python, providing interactive dashboards and insights into digital payment trends across regions. It helps in analyzing transaction patterns and user engagement effectively.
[1CP0570] Extraction of Text from Images Using the Tkinter Framework in Python
This project extracts text from images using Optical Character Recognition (OCR) techniques integrated with the Tkinter GUI framework in Python. It provides a simple interface for uploading images and converting them into editable text.
[1CP0569] Prediction of Stock Market Trends Using Machine Learning and Deep Learning Algorithms in Python
This project predicts stock market trends by leveraging Machine Learning and Deep Learning algorithms in Python. It analyzes historical data to forecast future price movements and assist in informed investment decisions.
[1CP0568] Ensemble of Skin Lesions Using Deep Learning Techniques in Python
This project applies deep learning ensemble techniques to classify and detect various types of skin lesions using Python. It enhances diagnostic accuracy by combining multiple neural network models for improved skin disease prediction.
[1CP0567] Transforming Facial Analysis with MTCNN and FaceNet for Advanced Face Detection and Recognition Using Deep Learning in Python
This project employs MTCNN for precise face detection and FaceNet for advanced facial recognition using deep learning in Python. It ensures high accuracy in identifying and verifying faces across diverse conditions and datasets.
[1CP0566] Verification of Signatures Using the Tkinter Framework and Machine Learning in Python
This project focuses on verifying handwritten signatures using Machine Learning algorithms integrated with a user-friendly Tkinter GUI in Python. It efficiently distinguishes between genuine and forged signatures for enhanced security and authentication.
[1CP0565] Sentiment Analysis Based on Movie Reviews Using Natural Language Processing in Python
This project analyzes movie reviews using Natural Language Processing (NLP) techniques in Python to determine the sentiment behind user opinions. It classifies reviews into positive, negative, or neutral categories for better audience insight.
[1CP0564] Endorsement of Machine Learning-Centric Products on the Flipkart Dataset Using Python
This project analyzes the Flipkart dataset to endorse and recommend machine learning-based products using Python. It enhances product visibility and user engagement through intelligent data-driven insights.
[1CP0563] Virtual WhatsApp Marketing Bulk Messaging Without Blocking
Virtual WhatsApp Marketing with Meta Verified Messages, Bulk WhatsApp Messages, Action Button Message System, Attach Image PDF & Video, Credits Return on Non-WhatsApp, Schedule / Pipeline Messages, Send Messages in Working Hours, Send 1,000,000+ Messages at a Time
[1CP0562] Virtual SMS Marketing Bulk Messaging Without DLT Number
Virtual SMS Marketing with Verified Messages, Bulk SMS Messages, Include Phone Number, Include Website Links, Credits Return on Non-SMS, Instant Messages, Send Messages Anytime, Send 1,000,000+ Messages
[1CP0561] Google Veo Ultra Monthly AI Subscription
Google Veo 3.1 with Unlimited AI Video & Cinematic Generation, 25,000 AI Credits/Monthly, 30TB Storage, Gemini 2.5 Pro in Gmail Docs and more, NotebookLM Customization & Collaboration, Google Flow AI Filmmaking Tool, Whisk Experiment Animate for Images & Videos, Jules AI Coding Assistant / AI Agent, YouTube Premium Individual Plan
[1CP0560] ChatGPT Plus Annual Subscription with GPT 5
ChatGPT Plus featuring GPT-5, O3 Reasoning Agent, Agent Mode, Deep Research, Sora Video AI, AI Codex Agent
[1CP0559] Perplexity ai Pro Annual Subscription Offer
Perplexity.ai Pro with 10x Answer Citations, Perplexity Labs Deep Search & LLMs, Perplexity Research, ProPlex Image & Video Animation, Advanced AI Models
[1CP0558] Automated Recognition of Fraudulent Phone Calls Through Deep Learning with Python
This project detects fraudulent phone calls automatically using deep learning techniques. It analyzes call audio patterns and behaviors to differentiate between genuine and scam calls, enhancing communication security.
[1CP0557] Machine Learning Techniques for Predicting Academic Success of College Students with Python
This project uses machine learning methods to predict the academic performance of college students. It analyzes various factors influencing success and provides insights to improve learning outcomes.
[1CP0556] Pose Estimation for Gym Workouts Using Yolov7 with Deep Learning in Python
This project performs pose estimation for gym workouts using the YOLOv7 model in Python. It tracks body movements in real time to analyze posture accuracy and improve exercise performance.
[1CP0555] Detection and Recognition of Sign Language Using Mediapipe and Machine Learning Algorithms with Python
This project detects and recognizes sign language gestures using Mediapipe and machine learning algorithms in Python. It promotes effective communication for the hearing-impaired through real-time gesture interpretation.
[1CP0554] Attendance System Based on Face Recognition Utilizing the Flask Framework with Deep Learning in Python
This project automates attendance marking using a face recognition system built with the Flask framework in Python. It enhances accuracy and efficiency by identifying individuals in real time through facial features.
[1CP0553] Ensemble of Skin Lesions Using Deep Learning - DenseNet 201 with Python
This project classifies and analyzes skin lesions using an ensemble deep learning model based on DenseNet-201. It aids in early detection and diagnosis of skin diseases with high accuracy and reliability.
[1CP0552] The Functionality of the Quiz Test Application Utilizing the Django Framework with Python
This project develops an interactive quiz test application using the Django framework. It allows users to take quizzes, view scores instantly, and manage question sets efficiently through a dynamic web interface.
[1CP0551] Web Scraping with Beautiful Soup Utilizing Python
This project extracts and analyzes data from websites using Beautiful Soup in Python. It automates data collection for research, analytics, and content monitoring efficiently and accurately.
[1CP0550] Identification of Individuals via Facial Recognition and Anti-Spoofing Techniques Using Deep Learning in Python
This project identifies individuals through facial recognition integrated with anti-spoofing techniques using deep learning in Python. It ensures secure and accurate authentication by distinguishing real faces from fake or spoofed inputs.
[1CP0549] Detection of Object Measurements Through OpenCV and Machine Learning with Python
This project detects and measures objects using OpenCV and machine learning techniques in Python. It enables precise dimension estimation for automation, manufacturing, and image-based measurement applications.
[1CP0548] Weather Prediction Using API and Machine Learning with Python
This project predicts weather conditions using real-time API data and machine learning algorithms in Python. It helps forecast temperature, humidity, and rainfall with improved accuracy for daily and regional analysis.
[1CP0547] Ensuring Pixel Secrecy by Embedding Secret Keys with Python and LSB Steganography in Images
This project ensures pixel-level secrecy by embedding secret keys into images using LSB steganography with Python. It provides a secure method for data hiding and confidential information transmission through digital images.
[1CP0546] Classification of Vehicles and Estimation of Speed Using Computer Vision Techniques in Deep Learning with Python
This project classifies vehicles and estimates their speed using computer vision and deep learning techniques in Python. It enables real-time traffic monitoring and intelligent transportation management through visual data analysis.
[1CP0545] ID2S Password Authenticated Key Exchange Protocols
To design secure password-authenticated key exchange (PAKE) protocols using ID-based cryptography, ensuring mutual authentication and confidentiality during key establishment.
[1CP0544] FRoDO Fraud Resilient Device for Off Line Micro Payments
To develop a fraud-resilient device for secure offline micro-payments, ensuring transaction integrity and preventing unauthorized usage.
[1CP0543] Tell Me What You Eat and I Will Tell You Where You Come From A Data Science Approach for Global Recipe Data on the Web
To analyze global recipe data using data science techniques to predict users’ cultural or regional origin based on their dietary patterns.
[1CP0542] EPLQ Efficient Privcay perserving Location based query over outsourced Encrypted data
To enable efficient and privacy-preserving location-based queries over outsourced encrypted data, ensuring user location confidentiality and secure data access.
[1CP0541] Enabling fine grained multi keyword search supporting classified sub dictionaries over encrypted cloud data
To enable secure and efficient fine-grained multi-keyword search over encrypted cloud data using classified sub-dictionaries, ensuring privacy and fast retrieval.
[1CP0540] Efficiently Estimating Statistics of Points of Interests on Maps
To efficiently estimate and analyze statistics of points of interest (POIs) on maps for improved location-based services and spatial data analysis.
[1CP0539] Dynamic and Public auditing with Fair Arbitration for Cloud Data
To develop a secure and transparent auditing mechanism that enables dynamic and public verification of cloud data integrity with fair arbitration between users and cloud providers.
[1CP0538] Inverted Linear Quadtree Efficient Top K Spatial Keyword Search
To efficiently perform top-K spatial keyword searches using an Inverted Linear Quadtree structure for fast retrieval in large spatial-textual datasets.
[1CP0537] DeyPoS Deduplicatable Dynamic Proof of Storage for Multi User Environments
To design a secure and efficient deduplicatable dynamic proof of storage (DeyPoS) scheme that ensures data integrity and privacy in multi-user cloud environments.
[1CP0536] Dynamic Multiservice Load Balancing in Cloud Based Multimedia System
To achieve efficient resource utilization and improved performance in cloud-based multimedia systems through dynamic multiservice load balancing techniques.
[1CP0535] Detection of SuperPoints Using Vector Bloom Filter
To efficiently detect superpoints in high-speed network traffic using a Vector Bloom Filter for improved accuracy and reduced memory consumption.
[1CP0534] Detecting Mobile Malicious Web Page Detection in Real Time
To detect mobile malicious web pages in real time using machine learning and URL feature analysis to protect users from phishing and malware attacks.
[1CP0533] Detecting Malicious Facebook Applications
To detect and prevent malicious Facebook applications by analyzing user behavior patterns and app permissions using machine learning techniques.
[1CP0532] Detecting Frequents Items sets an Shopping Data Sets Using Data Mining
To identify frequently purchased item sets from shopping datasets using data mining techniques to enhance sales strategies and customer recommendations.
[1CP0531] Data Security and Integrity in Cloud Computing Based On RSA Partial Homomorphic and MD5 Cryptography
To ensure secure data storage and transmission in cloud environments using RSA Partial Homomorphic encryption for confidentiality and MD5 hashing for data integrity verification.
[1CP0530] Enhaced Apriori Algorithm using top down approach
To enhance the traditional Apriori algorithm using a top-down approach for more efficient frequent itemset mining, reducing computational time and memory usage in large datasets.
[1CP0529] Cyberbullying Detection based on Semantic Enhanced Marginalized Denoising Auto Encoder
To develop a cyberbullying detection system using a semantic-enhanced marginalized denoising autoencoder, improving the accuracy of identifying harmful content on social media platforms.
[1CP0528] Crowdsourcing for Top K Query Processing over Uncertain Data
To design a crowdsourcing-based approach for processing top-K queries over uncertain data, improving the accuracy and efficiency of query results in environments with incomplete or imprecise information.
[1CP0527] Contributory Broadcast Encryption with Efficient Encryption and Short Ciphertexts
To develop a contributory broadcast encryption scheme that enables efficient encryption and produces short ciphertexts, ensuring secure and scalable data distribution among multiple users.
[1CP0526] Connecting Social Media to Ecommerce Cold Start Product Recommendation
To design a recommendation system that leverages social media data to address the cold start problem in e-commerce, improving product suggestions for new users and items.
[1CP0525] CloudArmor Supporting Reputation based Trust Management for Cloud Services
To develop CloudArmor, a reputation-based trust management framework for cloud services that evaluates and ensures service reliability, security, and user trust in cloud environments.
[1CP0524] Circuit Cipher text Policy Attribute Based Hybrid Encryption with Verifiable Delegation in Cloud Computing
To design a secure cloud data sharing system using circuit ciphertext-policy attribute-based hybrid encryption with verifiable delegation, ensuring fine-grained access control and data confidentiality.
[1CP0523] Customer Churn Prediction in Telecom Industry Using Logistic Regression
To predict customer churn in the telecom industry using logistic regression, enabling companies to identify at-risk customers and implement retention strategies effectively.
[1CP0522] Cloud Based CDA Generation and Integration for Health Information Exchange
To design a system for the generation and integration of Clinical Document Architecture (CDA) to standardize, exchange, and manage healthcare data efficiently across different medical systems.
[1CP0521] Booster in High Dimensional Data Classification
To develop a booster-based approach for improving the accuracy and efficiency of classification in high-dimensional datasets by reducing overfitting and enhancing model performance.
[1CP0520] ANGEL Agent Based Scheduling for Real Time Tasks in Virtualized Clouds
To design an ANGEL agent-based scheduling framework for real-time tasks in virtualized cloud environments, improving task allocation, execution efficiency, and resource utilization.
[1CP0519] An Efficient Privacy Preserving Ranked Keyword Search Method
To develop an efficient and privacy-preserving ranked keyword search method that enables secure and accurate retrieval of encrypted data from the cloud without revealing sensitive information.
[1CP0518] An Efficient Privacy Online Voting Using Aathaar Card
To design a secure and efficient online voting system integrated with Aadhaar authentication to ensure voter privacy, authenticity, and transparency in the election process.
[1CP0517] A Survey on Keyword Based Search Mechanism for Data Stored in Cloud
To systematically review keyword-based search mechanisms for data stored in the cloud, evaluating their performance, scalability, and security implications.
[1CP0516] A Scalable Approach for Content Based Image Retrieval in Peer to Peer Networks
To develop a scalable and efficient content-based image retrieval system using peer-to-peer networks that enables fast image searching and retrieval based on visual features rather than metadata.
[1CP0515] Deep CNN-Based Audio Denoising for Extracting Clean Signals from Noisy Sources
This project enhances speech quality for voice activation systems using a Convolutional Neural Network (CNN) algorithm. It effectively removes background noise and improves clarity for accurate speech recognition.
[1CP0514] Orchid Plant Classification and Identification using Deep learning Algorithm
This project uses deep learning algorithms to classify and identify different species of orchid plants from images, aiding botanical research and plant conservation.
[1CP0513] Detection of Intruders Utilizing OpenCV and Deep Learning Techniques in Python
This project detects intruders in real time using OpenCV and Deep Learning techniques in Python. It enhances security by identifying unauthorized movements through advanced image processing and neural network models.
[1CP0512] Intrusion Detection System Utilizing Machine Learning in Python
An Intrusion Detection System (IDS) utilizing Machine Learning in Python identifies and prevents malicious network activities by analyzing traffic patterns. It enhances cybersecurity through intelligent classification of normal and attack behaviours.
[1CP0511] Facial Emotion Recognition Utilizing Deep Learning Techniques in Python
A Python-based system that detects and classifies human emotions from facial expressions using deep learning models like CNN.
[1CP0510] Email Reader and Download Attachments Using Python
A Python-based application that automatically reads incoming emails and downloads their attachments for further processing or storage.
[1CP0509] Identification of Tourist Locations in London Utilizing a Twitter Dataset through Machine Learning and the Django Framework with Python
This project leverages machine learning and the Django framework in Python to analyze Twitter data and identify popular tourist locations in London, providing insights into travel trends and visitor preferences.
[1CP0508] Identification of Paddy Plant Disease Using Deep Learning Techniques in Python
This project utilizes deep learning techniques in Python to identify and classify diseases in paddy plants from images, helping farmers take timely actions to protect crops and improve yield.
[1CP0507] Gesture-Controlled Virtual Mouse Utilizing Deep Learning in Python
This project develops a gesture-controlled virtual mouse using deep learning in Python, enabling users to interact with their computer through hand movements for a touchless and intuitive interface.
[1CP0506] Identification and Categorization of Ship Types Utilizing Deep Learning Techniques in Python
This project employs deep learning techniques in Python to automatically identify and categorize different ship types from images or sensor data, aiding maritime monitoring and navigation management.
[1CP0505] Forecasting Crop Yields Through Deep Learning and the Django Framework Utilizing Python
This project uses deep learning models integrated with the Django framework in Python to predict crop yields, helping farmers and agronomists make data-driven decisions for optimized agricultural planning.
[1CP0504] Detection of Helmets and Number Plates in Images Utilizing Python
This project implements a computer vision system using Python and YOLOv7 to automatically detect helmets and vehicle number plates in images, enhancing safety compliance and vehicle monitoring efficiency.
[1CP0503] Data Representation through the Streamlit Framework Utilizing Python
This project focuses on visualizing and representing data interactively using the Streamlit framework in Python, enabling users to explore datasets and gain real-time insights through dynamic dashboards.
[1CP0502] An AI-Powered Medical Self-Diagnosis Chatbot Developed with Python
This project develops an AI-powered medical self-diagnosis chatbot using Python that analyzes user symptoms and provides possible health condition insights with basic recommendations. It enhances accessibility to preliminary medical guidance through intelligent conversational interaction.
[1CP0501] Advancing Employee Careers Through Machine Learning Utilizing Python
This project leverages machine learning techniques in Python to analyze employee data, identify growth opportunities, and provide personalized career advancement recommendations. It aims to enhance workforce development and optimize talent management strategies.
[1CP0497] Eye-Gaze Detection Utilizing a Single Webcam Through the Extraction of Geometric Features Machine Learning Implemented with Python
This project implements eye-gaze detection using a single webcam by extracting geometric features of the eyes and applying machine learning techniques in Python. It enables gaze estimation for human-computer interaction using accessible hardware.
[1CP0496] Detection of Forest Fires Utilizing Deep Learning Techniques in Python
This project focuses on detecting forest fires using deep learning models in Python by analyzing satellite or sensor data. It aims to provide early warning systems to help mitigate wildfire damage through automated detection.
[1CP0495] Visualization of Spotify Genres Through Machine Learning and t-SNE in Python
This project visualizes Spotify music genres using machine learning techniques and t-SNE to reduce high-dimensional audio features into a 2D space, revealing genre clusters. It highlights patterns and relationships between musical styles based on their acoustic attributes.
[1CP0494] Identification of Harmful URLs through DNN Deep Learning utilizing Python
The Identification of Harmful URLs system leverages Deep Neural Networks (DNN) in Python to detect malicious and phishing URLs. It analyzes URL patterns and features to provide accurate and real-time threat detection for cybersecurity
[1CP0493] Driver Fatigue Detection and Notification System Utilizing Webcam Machine Learning Implemented with Python
The Driver Fatigue Detection and Notification System uses a webcam and machine learning to monitor driver alertness in real-time. It detects signs of drowsiness and instantly triggers alerts to prevent accidents and ensure road safety
[1CP0492] School Administration System utilizing the Django Framework Django developed with Python
The School Administration System is built using the Django framework in Python to efficiently manage students, teachers, and academic records. It provides secure, scalable, and automated solutions for attendance, grading, and communication.
[1CP0491] Driver Distraction Detection using Machine Learning
A machine learning-based system that detects driver distractions in real-time by analyzing facial expressions, head movements, and hand positions to enhance road safety.
[1CP0490] Fronesis Digital Forensics Early Detection of Active Cyber Attacks Utilizing Machine Learning and Django with Python
Fronesis Digital Forensics enables early detection of active cyber-attacks by leveraging machine learning models integrated within a Django-based web platform developed in Python. This system enhances cybersecurity response through real-time threat identification and analysis.
[1CP0489] Classification Of Indicators Representing Causes of Morbidity And Mortality Machine Learning using python
A machine learning-based classification system is developed using Python to identify and categorize key indicators contributing to morbidity and mortality. The model analyzes health data to predict potential risk factors and prioritize public health interventions.
[1CP0488] Advanced Computational Modeling for Predicting Obstructive Sleep Apnea Deep Learning Techniques Utilizing Python
This project utilizes deep computational modeling to predict obstructive sleep apnea by analyzing physiological and behavioral data. It applies deep learning techniques to improve diagnostic accuracy and patient outcomes.
[1CP0487] Object Detection Utilizing Yolov3 Deep Learning with Python
This project implements object detection using the YOLOv3 algorithm, enabling real-time identification and localization of multiple objects in images or videos. It utilizes Python and OpenCV for efficient detection performance.
[1CP0486] Film Suggestion System Utilizing Deep Learning and Machine Learning Machine Learning and Deep Learning Implemented with Python
This project develops a movie recommendation system by combining deep learning and machine learning algorithms to analyze user preferences and viewing history. It provides personalized movie suggestions using Python-based models.
[1CP0485] Classification of Google Play Store Reviews Based on Machine Learning Utilizing Python
This project classifies Google Play Store reviews using machine learning techniques to determine sentiment and user satisfaction levels. It leverages Python for text preprocessing, feature extraction, and model training.
[1CP0484] Digital Voting Platform Developed with the Django Framework Utilizing Python
This project implements a secure and user-friendly online e-voting system using the Django web framework in Python. It ensures voter authentication, vote integrity, and real-time result management.
[1CP0483] Improving the Efficiency of Machine Learning Based Intrusion Detection Systems on an Imbalanced and Up-to-Date Dataset Using Python
This project aims to improve the performance of machine learning-based Intrusion Detection Systems (IDS) by addressing data imbalance and using updated datasets. Techniques like resampling and advanced algorithms are applied for better threat detection.
[1CP0482] An Evaluation of Machine Learning Classifiers and Ensembles for Early Stage Prediction
This project evaluates various machine learning classifiers and ensemble methods for the early-stage prediction of lung cancer. It focuses on improving diagnostic accuracy through data analysis and model comparison using Python.
[1CP0481] Detection of Depression Related Posts in Reddit Social Media Forum
This project detects depression-related posts on the Reddit social media platform using Natural Language Processing and machine learning techniques. It aims to support mental health monitoring by analyzing linguistic patterns in user content.
[1CP0480] Identification of cardiovascular diseases in ECG images through the application of machine learning and deep learning techniques utilizing Python
This project focuses on identifying cardiovascular diseases by analyzing ECG images using machine learning and deep learning techniques. It leverages Python for image processing, feature extraction, and accurate disease classification.
[1CP0479] Real time Detection and Alert System for Construction Worker Safety Gear Utilizing YOLO and Python
This project provides real-time detection of construction workers’ safety gear, such as helmets and vests, using the YOLO algorithm implemented in Python. It triggers alerts when safety violations are detected, enhancing workplace safety compliance.
[1CP0478] Question Generation utilizing the NLP Model in conjuction with the Flask
This project generates intelligent and context-aware questions from input text using Natural Language Processing (NLP) models integrated with a Flask-based web interface. It aids in educational tools, assessments, and interactive learning platforms.
[1CP0477] A system for monitoring attendance developed with the Flask framework in Python
This project implements an attendance monitoring system using the Flask web framework in Python, providing a user-friendly interface for real-time tracking and data management. It supports efficient record keeping for institutions and organizations.
[1CP0476] Detection of Financial Fraud Utilizing Machine Learning Techniques in Python
This project focuses on identifying financial fraud by applying machine learning algorithms to detect unusual patterns and anomalies in transaction data. It utilizes Python for data preprocessing, model training, and evaluation.
[1CP0475] Improving the Detection of Human Violence Through the Application of the Deep Learning Technique Yolo V7 Deep Learning Utilizing Python
This project enhances the detection of human violence in video or surveillance footage using the YOLOv7 deep learning algorithm. It leverages Python to implement real-time, high-accuracy violence recognition for public safety and monitoring.
[1CP0474] Transforming Images into Speech Text into Speech and Values into Speech Utilizing Python
This project converts visual data (images), textual content, and numerical values into audible speech using Python-based speech synthesis and OCR technologies. It aims to assist visually impaired users and enhance accessibility.
[1CP0473] Medical Image Analysis YOLO Instance Segmentation for Neurological Conditions Deep Learning Utilizing Python
This project applies YOLO-based instance segmentation to medical imaging for identifying neurological conditions. It leverages deep learning in Python to enhance diagnostic accuracy and automate analysis.
[1CP0472] Recognition of Human Actions Utilizing the YoloV7 Algorithm in Deep Learning with Python
This project focuses on recognizing human actions using the YOLOv7 object detection algorithm, integrated with deep learning techniques in Python. It aims to enhance real-time action detection accuracy across various environments.
[1CP0471] Advanced Learning Techniques for Precision Agriculture YOLO Instance Segmentation Applied to Lodged Crops Utilizing Python for Deep Learning
This project applies YOLO-based instance segmentation for detecting and analyzing lodged crops in precision agriculture. It uses advanced deep learning techniques in Python to enhance crop monitoring and yield assessment accuracy.
[1CP0470] Malicious Social Bot Utilizing Twitter Network Analysis in Django Machine Learning Django with Python
This project identifies and analyzes malicious social bots on Twitter using machine learning techniques. It leverages Django with Python to visualize network patterns and detect suspicious bot-like behavior efficiently.
[1CP0469] AI-Powered Vehicle Speed Detection System Utilizing YOLO and OpenCV Deep Learning through Python
This project develops an AI-based vehicle speed detection system using YOLO and OpenCV deep learning techniques. It efficiently tracks and calculates vehicle speeds in real-time, enhancing road safety and traffic monitoring.
[1CP0468] DBQA Multi-Environment Analyzer for Query Execution Time and Cost Utilizing the Django Framework with Python
The project “DBQA Multi-Environment Analyzer” focuses on analyzing and comparing database query execution time and cost across multiple environments. It utilizes the Django framework with Python to provide performance insights and optimize query efficiency.
[1CP0467] Cyber Threat Intelligence Mining for Proactive Cybersecurity Defense A Survey and New Perspectives on Machine Learning and Django Utilizing Python
This project surveys current approaches in cyber threat intelligence mining and proposes new perspectives using machine learning, integrated with Django and Python, for proactive cybersecurity defense. It focuses on enhancing threat detection, analysis, and response capabilities.
[1CP0466] Detection of Breast Cancer Utilizing the Streamlit Framework with Deep Learning Implemented in Python
This project utilizes deep learning models integrated with the Streamlit framework in Python to detect breast cancer from medical data. It offers an interactive interface for early diagnosis and improved clinical decision-making.
[1CP0465] Classification of Food and Prediction of Calories Utilizing the Flask Framework in Machine Learning with Flask Implemented in Python
This system classifies various food items and predicts their calorie content using machine learning, implemented with the Flask framework in Python. It provides an accessible web interface for nutritional analysis and health tracking.
[1CP0464] Fronesis Digital Forensics- Early Detection of Active Cyber-Attacks Utilizing Machine Learning and Django with Python
Fronesis Digital Forensics enables early detection of active cyber-attacks by leveraging machine learning models integrated within a Django-based web platform developed in Python. This system enhances cybersecurity response through real-time threat identification and analysis.
[1CP0463] Car Accident Detection Utilizing Deep Learning with CNN and YOLO Algorithm Deep Learning Implemented in Python
Car accident detection is implemented using deep learning techniques, combining Convolutional Neural Networks (CNN) and the YOLO algorithm for real-time object detection, developed in Python. This system aims to enhance road safety by accurately identifying accidents from video data.
[1CP0462] Examining the Impact of Traffic Sampling on Network Intrusion Detection Methods Based on Machine Learning Utilizing Python
This study examines how different traffic sampling techniques affect the performance of machine learning-based network intrusion detection systems using Python. It aims to optimize detection accuracy while managing data volume for efficient cybersecurity monitoring.
[1CP0461] Online Job Management System Developed with the Django Framework utilizing Python
An Online Job Management System is developed using the Django framework with Python to streamline job tracking, task assignments, and progress monitoring. The system enhances workflow efficiency by providing a centralized platform for managing job-related activities.
[1CP0460] YouTube Data Analysis and Prediction of Views Comments and Channel using Flask
This project uses Flask to build a web application that analyzes YouTube data and predicts future views, comments, and channel growth using machine learning.
[1CP0459] Multi Disease Prediction Model by using Machine Learning and Django Framework
A multi-disease prediction system developed with machine learning and Django that can diagnose various diseases from patient data through an easy-to-use web interface.
[1CP0458] Emotion Recognition From Audio Using Librosa
This project uses Librosa and machine learning to recognize human emotions from audio recordings by analyzing sound features like tone and pitch.
[1CP0457] Currency Building a Currency Converter with the Django Framework
A web-based currency converter built using the Django framework that allows users to convert amounts between different currencies with real-time exchange rates.
[1CP0456] Credit Card Fraud Detection Using Machine Learning and Flask FrameWork
This project uses machine learning to detect credit card fraud and provides a web interface built with Flask for real-time transaction monitoring and alerts.
[1CP0455] Ai Powered Crop Health Monitoring Yolo For Mango Leaf Disease Analysis
An AI-powered crop health monitoring system using YOLO to detect and analyze mango leaf diseases, helping farmers identify issues early and improve crop yield.
[1CP0454] A Deep Learning Approach to Ship Detection and Classification using YOLOV7 and Flask FrameWork
This project utilizes YOLOv7 and Flask to detect and classify ships in images or videos, providing a real-time, web-based interface for maritime monitoring and security.
[1CP0453] Voice Based Email for Visually Challenged People using Django
This project provides a voice-based email system built with Django, enabling visually challenged users to send, receive, and manage emails using speech commands for improved accessibility.
[1CP0452] Heart Disease Prediction using Machine Learning
This project applies machine learning techniques to predict the risk of heart disease using patient health data, enabling early diagnosis and better healthcare management.
[1CP0451] Deep Learning For Real Estate An Artificial Neural Network Model House Price Prediction
This project uses deep learning with an artificial neural network to predict house prices based on real estate data, helping buyers and sellers make informed decisions.
[1CP0450] Accessibility and safety Through Drug Images Classification Models using Yolov5 and Flask Frame work
This project uses YOLOv5 and Flask to classify drug images, enhancing accessibility and safety by helping users accurately identify medications through an easy web interface.
[1CP0449] Analysis of Shipping Data in E-Commerce Surveys Using Machine Learning in Python
This project performs survey analysis on e-commerce shipping data using Python to uncover trends, customer preferences, and improve delivery efficiency.
[1CP0448] Development of a Student Information Chatbot Using a Web Application in Deep Learning with Python
A web-based chatbot designed to provide quick and easy access to student information, enhancing communication and support within educational institutions.
[1CP0447] Soil Ground Feet Forecasting through Machine Learning with Python
This project uses machine learning to predict soil bearing capacity (ground feet) based on soil properties, assisting in construction and civil engineering decisions.
[1CP0446] Detection of Skin Cancer Using Convolutional Neural Networks and the Tkinter Framework in Deep Learning with Python
This project uses Convolutional Neural Networks (CNN) for skin cancer detection and integrates a user-friendly interface built with Tkinter for easy image input and diagnosis.
[1CP0445] Analysis of Shipping Data through Machine Learning and the Django Framework utilizing Python
This project analyzes shipping data using machine learning techniques to uncover trends, optimize logistics, and predict delivery outcomes. The Django framework is used to build a web interface for data visualization and user interaction.
[1CP0444] Classification of Rice Types Utilizing Deep Learning Techniques with Image Processing in Python
This project classifies different types of rice grains using deep learning methods combined with image processing techniques. It enhances agricultural automation by accurately identifying rice varieties through image analysis.
[1CP0443] Expense Tracker Prediction Utilizing the Django Framework in Python
An expense tracker built with Django that predicts future expenses using machine learning, helping users manage and plan their finances effectively.
[1CP0442] Prediction of Liver Disease Utilizing Machine Learning and the Flask Framework with Python
A liver disease prediction system built with machine learning and Flask, providing an easy-to-use web interface for early diagnosis based on patient data.
[1CP0441] Flight Delay Error Prediction using Machine Learning Algorithm
This project uses machine learning algorithms to predict flight delays, helping airlines and passengers manage schedules more effectively and reduce wait times.
[1CP0440] Prediction of Diabetic Retinopathy in Python Utilizing Machine Learning Concepts Machine Learning with Python
This project predicts diabetic retinopathy by analyzing retinal images using machine learning techniques in Python. It focuses on early detection and classification to support timely medical intervention.
[1CP0439] Classification and Detection of Different Types of Attack in Wireless Sensor Networks using Machine Learning
This project employs machine learning to classify and detect various types of attacks in wireless sensor networks, enhancing network security and threat response.
[1CP0438] Automated Detection and Classification of Sleep Apnea Types Using OPENCV Python
This project automates the detection and classification of different types of sleep apnea using video analysis with OpenCV in Python. It enhances diagnostic processes by monitoring sleep patterns and respiratory behaviors.
[1CP0434] Screening of Resumes Through Machine Learning and Natural Language Processing in Python
This project uses machine learning and natural language processing (NLP) to automatically screen and shortlist resumes, improving hiring efficiency and accuracy.
[1CP0433] Detection of Plant Leaf Diseases Utilizing the Flask Framework with Deep Learning Techniques in Python
A plant leaf disease detection system built with the Flask framework in Python that identifies and classifies diseases from leaf images to help farmers monitor crop health.
[1CP0432] Emotion Detection With Facial Feature Recognition Using CNN & OPENCV
This project uses deep learning to analyze facial expressions and accurately detect human emotions from images or video in real-time.
[1CP0430] Detection of Breast Cancer through Deep Learning Techniques in Python
This project uses deep learning techniques to accurately detect breast cancer from medical images, aiding in early diagnosis and improving patient outcomes.
[1CP0429] Utilizing Tkinter for Machine Learning in Python for Resonance Diagnostics
This project leverages Tkinter in Python to create a user-friendly interface for machine learning-based resonance diagnostics, enabling easy analysis and interpretation of resonance data.
[1CP0428] SMS Spam Detection System featuring SpamGuard developed using the Flask Framework in Python
SpamGuard is an SMS Spam Detection System built with Python’s Flask framework that identifies and filters spam messages in real-time, enhancing user communication security.
[1CP0427] Heart Stroke Prediction Using Machine Learning
This project applies machine learning techniques in Python to predict the risk of heart stroke by analyzing patient health data, aiding in early detection and prevention.
[1CP0426] Employing Machine Learning Techniques to Predict Pace Values from EMG Data Using Python
This project uses machine learning in Python to predict pace values by analyzing electromyography (EMG) data. It enables accurate assessment of muscle activity to support applications like rehabilitation and sports science.
[1CP0425] Donation Management System Using Python
A Donation Management System built with Python to streamline the process of collecting, tracking, and managing donations efficiently. It helps organizations organize donor information and donation records effectively.
[1CP0424] Detection of Autism Spectrum Disorder in Children Through Deep Learning Models Utilizing Facial Images with Python
This project uses deep learning in Python to detect Autism Spectrum Disorder (ASD) in children by analyzing facial images. The model helps in early diagnosis by identifying subtle facial features associated with ASD.
[1CP0422] Leveraging Machine Learning for Gold Market Trend Analysis and Prediction
A machine learning-driven system that analyzes historical gold market data to predict price trends, aiding investors in making informed decisions.
[1CP0421] Face Detection Token System for Hospital using Facial Recognition
A hospital management system that uses facial recognition for secure and contactless face detection token generation, streamlining patient check-ins and access control.
[1CP0420] Intrusion Detection Using Machine learning
A machine learning-based intrusion detection system that monitors network traffic to identify and prevent unauthorized access and cyber threats.
[1CP0419] Federated learning-based intrusion detection system
An intrusion detection system that leverages federated learning to collaboratively detect network threats across multiple devices while preserving data privacy.
[1CP0418] Towards Precision Eye Care YOLOv7 for Optical Glaucoma Detection
A precise eye care system using YOLOv7 to detect signs of optical glaucoma from eye images, enabling early diagnosis and improved patient outcomes.
[1CP0417] Revolutionizing Hematology Blood Cell Detection and Counting with YOLOv8
A cutting-edge system utilizing YOLOv8 for accurate detection and counting of blood cells in hematology, enhancing diagnostic efficiency and precision.
[1CP0416] Prediction of gestational diabetes using machine learning algorithms and deep learning
A predictive system combining machine learning and deep learning algorithms to identify the risk of gestational diabetes early using patient health data.
[1CP0415] Phishing Detection and Classification Using Machine Learning Algorithms
A machine learning-based system that detects and classifies phishing attacks by analyzing website features and email content to protect users from cyber threats.
[1CP0414] Brain Tumor Prediction and Segmentation using CNN
A CNN-based system that predicts and segments brain tumors from medical imaging data, aiding in accurate diagnosis and treatment planning.
[1CP0413] Online Exam Management System Using Django Framework
A Django-based online exam management system that facilitates exam creation, scheduling, and automated grading for seamless assessment processes.
[1CP0412] A Depression Assistant Chatbot using in Artificial Intelligence
An AI-powered chatbot designed to assist users by providing support, resources, and early detection of depression symptoms through natural conversations.
[1CP0411] Embedded Code Generator Chatbot Using Web Application
A web-based chatbot that generates embedded code snippets automatically based on user queries, enhancing developer productivity and coding efficiency.
[1CP0410] House Price Prediction Using Machine Learning Algorithm
A machine learning-based model that predicts house prices by analyzing various property features and market trends to assist buyers and sellers in decision-making.
[1CP0409] Copper Transaction Intelligence Platform Machine Learning
A machine learning-powered platform that analyzes copper transaction data to provide actionable intelligence, detect anomalies, and optimize trading decisions.
[1CP0408] Real-Time Sonar Object Classification Using Machine Learning
A real-time system that classifies underwater objects using sonar signal data processed with machine learning algorithms to enhance marine navigation and exploration.
[1CP0407] Automated Legal Document Similarity and Comparison System by NLP
An NLP-powered system that automates the comparison and similarity analysis of legal documents to assist in efficient legal research and contract review.
[1CP0406] Airlines Delay Prediction Using Machine Learning And Deep Learning
A predictive system that utilizes machine learning and deep learning techniques to forecast airline flight delays, helping passengers and airlines manage schedules better.
[1CP0405] Phish Catcher Client-Side Defense Against Web Spoofing Attacks Using Machine Learning
Phish Catcher is a client-side defense system that uses machine learning to detect and prevent web spoofing attacks, protecting users from phishing threats in real-time.
[1CP0404] Heart Disease Prediction Using Machine Learning
A machine learning-based system that predicts the risk of heart disease by analyzing patient health data to assist in early diagnosis and preventive care.
[1CP0403] Automatic Question Generation from Multimedia Content
A system that automatically generates relevant questions from multimedia content such as videos and images using natural language processing and computer vision techniques.
[1CP0402] Toxic Net Automated Toxic Comment Detection Using AI
Toxi Net is an AI-powered automated system designed to detect toxic comments accurately by leveraging advanced neural networks and natural language processing techniques.
[1CP0401] Toxic Comment Detection System Using Natural Language Processing
A Natural Language Processing (NLP) system that identifies and filters toxic comments in online platforms to promote safer and respectful communication.
[1CP0400] Handwritten Text Recognition using OCR and Deep learning
An OCR-based system that converts handwritten text from images into editable digital text, improving document digitization and accessibility.
[1CP0399] Farm management and crop marketplace platform using Django
A Django-based platform that integrates farm management tools with a crop marketplace, enabling farmers to manage resources efficiently and connect directly with buyers.
[1CP0398] Drug Recommendation System In Medical Emergencies Using Machine Learning
A machine learning-driven system that provides real-time drug recommendations during medical emergencies based on patient symptoms and medical history.
[1CP0397] Brain Fetal Prediction Using Deep Learning
A deep learning-based system designed to predict fetal brain development and detect abnormalities early using medical imaging data.
[1CP0396] Marine Audio Augmentation And Validation Framework Using Wavegan
A framework that uses WaveGAN to augment and validate marine audio data, enhancing underwater sound analysis and improving marine research accuracy.
[1CP0395] Prediction of Traffic Accidents Severity Using Machine Learning Algorithms
A machine learning-based system that predicts the severity of traffic accidents by analyzing historical data to improve road safety and emergency response.
[1CP0394] Deep Learning-Based Multi-Label Classification System for Toxic Comment Detection in Online Platforms
A deep learning-based multi-label classification system designed to detect and categorize toxic comments on online platforms, helping to maintain healthier digital communities.
[1CP0393] Diabetic retinopathy detection using Deep Learning
A deep learning-based system that analyzes retinal images to detect and classify diabetic retinopathy, enabling early diagnosis and treatment.
[1CP0392] Web-Based Sonar Signal Classification Using Machine Learning
A web-based application that classifies sonar signals using machine learning algorithms to accurately identify underwater objects and enhance marine exploration.
[1CP0391] The Prompt Recognition Of Chronic Kidney Disease Utilizing Python
A deep learning-based system for the early detection of Chronic Kidney Disease (CKD) by analyzing medical data to support timely diagnosis and treatment.
[1CP0390] Smart Path-Finding Car Simulation using Deep Q-Learning (DQN)
A smart car simulation that uses Deep Q-Learning (DQN) to autonomously find optimal paths in a dynamic environment, demonstrating reinforcement learning in navigation.
[1CP0389] Pima Indians Diabetes For Predict The Onset Of Diabetes Based On Diagnostic Measures
A machine learning model that predicts the onset of diabetes using diagnostic data from the Pima Indians Diabetes dataset, aiding early intervention and management.
[1CP0388] Early Detection of Chronic Diseases Using XGBoost on Spark-Based Big Data Infrastructure
A big data solution leveraging Spark infrastructure and XGBoost to enable early detection of chronic diseases by analyzing large-scale health datasets efficiently.
[1CP0387] Automatic Question Generation using NLP T5 Model with Flask Framework
A Flask-based web application that automatically generates relevant questions from text using the NLP T5 transformer model, enhancing educational content creation.
[1CP0386] Application of a Deep Learning CNN Algorithm in Python for the Diagnosis of Tomato Leaf Diseases
A deep learning-based system that detects and classifies diseases in tomato leaves from images to assist farmers in early diagnosis and crop protection.
[1CP0385] Hotel Reservation Using Machine Learning And User Interface With Flask Api And React
A hotel reservation system featuring a React-based user interface and Flask API backend, enhanced with machine learning to provide personalized recommendations and optimize booking management.
[1CP0384] Liver Tumor Detection Using 3D CNN
A 3D CNN-based medical imaging system designed to accurately detect liver tumors by analyzing volumetric scan data for early diagnosis.
[1CP0383] Detection of Fraudulent Credit Card Transactions Using AI Techniques
An AI-driven system that detects fraudulent credit card transactions in real-time by analyzing transaction patterns and anomalies using advanced machine learning algorithms.
[1CP0382] A Smart NLP-Based Approach for Identifying Legal Entities in Judicial Documents
A smart NLP-based system that automatically identifies and extracts legal entities from judicial documents to streamline legal research and analysis.
[1CP0381] Automated Video-Based Ball Type Classification Using 3D CNN
An automated system that classifies types of balls in videos using 3D Convolutional Neural Networks (3D CNN) to analyze spatial and temporal features for accurate recognition.
[1CP0380] Classification of Using Diabetic Retinopathy and Retinal Images using VGG16 And SVM
A hybrid deep learning model that classifies diabetic retinopathy stages using VGG16 for feature extraction and SVM for accurate classification of retinal images.
[1CP0379] Defensive Modeling of Fake news through flask framework
A Flask-based web application that detects and filters fake news using machine learning models trained on linguistic patterns and news content analysis.
[1CP0376] Employee Layoff Prediction Using Flask Framework
A Flask-based web application that predicts the likelihood of employee layoffs using machine learning models trained on organizational and employee data.
[1CP0375] Enhancing Road Safety with Real-Time Helmet Detection and Challan Issuance using YOLO and OCR
A real-time road safety system that uses YOLO for helmet detection and OCR to read license plates, enabling automatic challan issuance for traffic violations.
[1CP0374] Finding the missing child using facial recognition technique
A facial recognition-based system designed to identify and locate missing children by matching their photos with real-time or uploaded images from various sources.
[1CP0372] Spam Detection Using Text and Emoji Analysis with Machine Learning
A machine learning-based system that detects spam by analyzing both text content and emoji usage patterns to improve accuracy in message classification. It combines NLP and emoji sentiment analysis for robust spam detection.
[1CP0371] Video-Based Attendance Monitoring System using Flask Framework
A Flask-based web application that uses video processing and facial recognition to automate attendance tracking in real-time. It ensures accurate and efficient monitoring of student or employee presence.
[1CP0360] Attribute Based Storage Supporting Secure Deduplication of Encrypted Data in Cloud
To design an attribute-based storage system that enables secure deduplication of encrypted data in the cloud, ensuring data privacy while optimizing storage efficiency.
[1CP0359] Application Aware Big Data Deduplication in Cloud Environment
To implement an application-aware deduplication framework that efficiently identifies and eliminates redundant data in cloud storage, optimizing storage utilization and improving data management performance.
[1CP0358] An Integrated Bulk Products Enabled On Demand Grocery Shopping and Delivery Cloud System in the Innovative Approach
To develop an integrated cloud-based system that enables bulk product management, on-demand grocery shopping, and efficient delivery, providing users with a seamless and innovative shopping experience.
[1CP0357] A Robust Reputation Management Mechanism in Federated Cloud
To design a robust mechanism for managing and evaluating reputations of entities in a federated cloud environment, ensuring trust, reliability, and secure interactions among users and service providers.
[1CP0356] A Secure Searchable Encryption Framework for Privacy Critical Cloud Storage Services
To design and develop a secure searchable encryption framework that enables efficient data retrieval in privacy-critical cloud storage services while ensuring data confidentiality, integrity, and resistance to unauthorized access.
[1CP0355] Building and Querying an Enterprise Knowledge graph
To design and implement an enterprise knowledge graph that integrates heterogeneous organizational data into a unified, semantically rich structure, enabling efficient querying, knowledge discovery, and informed decision-making.
[1CP0354] PMOD Secure Privilege Based Multilevel Organizational Data Sharing in Cloud Computing
To develop a secure privilege-based multilevel data sharing framework (PMOD) for cloud computing environments that ensures controlled access, data confidentiality, and integrity, enabling organizations to share sensitive information efficiently while preventing unauthorized access.
[1CP0353] Predicting Cyberbullying on Social Media in the Big Data Era
To design and implement a predictive model leveraging big data analytics and machine learning techniques to identify and prevent cyberbullying on social media platforms, enabling timely intervention and fostering a safer online environment.
[1CP0352] Online Public Shaming on Twitter Detection Analysis and Mitigation
To develop a system for detecting, analyzing, and mitigating online public shaming on Twitter by leveraging natural language processing and sentiment analysis, with the goal of promoting healthier online interactions and reducing the negative psychological impact on targeted individuals.
[1CP0351] Enabling identity based integrity auditing
To design and implement an identity-based integrity auditing framework that ensures secure, efficient, and privacy-preserving verification of outsourced data, enabling authorized auditors to validate data integrity without exposing sensitive information.
[1CP0350] Finding Optimal Skyline Product Combination Under Price Promotive
To develop an efficient method for identifying optimal skyline product combinations considering price promotions, enabling consumers and retailers to make informed decisions that balance product quality and cost-effectiveness.
[1CP0349] Mining Users Trust from E Commerce Reviews Based on Sentiment Similarity Analysis
To develop a trust mining framework that analyzes sentiment similarity in e-commerce reviews to accurately evaluate user trustworthiness and enhance recommendation reliability in online marketplaces.
[1CP0348] Automated Decision Making in Airport Checkpoints Bias Detection Toward Smarter Security and Fairness
To develop an automated decision-making system for airport checkpoints that detects and mitigates biases, ensuring smarter security measures that are fair, transparent, and respectful of passenger rights.
[1CP0347] Achieving Data Truthfulness and Privacy Preservation in Data Markets
To design and implement a framework that ensures data truthfulness and preserves user privacy in data markets, enabling trustworthy data trading while protecting sensitive information from unauthorized access or misuse.
[1CP0346] Social Network Rumer Diffusion Predication Based on Equal Responsibility Game Model
To develop a prediction model for rumor diffusion in social networks using the Equal Responsibility Game Model, aiming to accurately forecast the spread of rumors by modeling user interactions and responsibility sharing, thereby supporting effective rumor control strategies.
[1CP0345] Salary Prediction in the IT Job Market with Few High Dimensional Samples A Spanish Case Study
To develop an accurate salary prediction model for the IT job market in Spain that effectively handles high-dimensional data with limited samples, providing insights into salary determinants and aiding job seekers and employers.
[1CP0344] Minimizing Influence of Rumours by Blockers on Social Networks Algorithms and Analysis
To design and analyze algorithms that minimize the spread of rumors on social networks by strategically utilizing blockers, aiming to reduce misinformation influence and improve the reliability of information dissemination.
[1CP0343] Normalization of Duplicate Records from Multiple Sources
To develop an efficient normalization framework that identifies and resolves duplicate records from multiple data sources, ensuring data consistency, accuracy, and integrity for improved data quality in integrated systems.
[1CP0342] Learning Customer Behaviours for Effective Load Forecasting
To develop a predictive model that learns customer behavior patterns to improve the accuracy of load forecasting, enabling efficient energy management and demand response planning.
[1CP0341] Hierarchical Attention Network for Visually aware Food Recommendation
To design and implement a hierarchical attention network that integrates visual features with textual data to provide personalized and accurate food recommendations, enhancing user experience by leveraging multi-modal information.
[1CP0340] Heterogeneous Information Network Embedding for Recommendation
To develop a recommendation system that leverages heterogeneous information network embedding techniques to capture complex relationships among diverse data types, improving recommendation accuracy and personalization.
[1CP0339] Filtering Instagram hashtags through crowd tagging and the HITS algorithm
To design and implement a filtering framework for Instagram hashtags that leverages crowd tagging and the HITS algorithm to identify and rank relevant and high-quality hashtags, improving content discoverability and user engagement.
[1CP0338] Detection of fake online reviews using semi supervised and supervised learning
To develop a robust detection system that combines semi-supervised and supervised learning techniques to accurately identify fake online reviews, improving trustworthiness and reliability of online platforms.
[1CP0337] Detecting Pickpocket Suspects from Large Scale Public Transit Records
To develop a data-driven system that analyzes large-scale public transit records to identify and predict potential pickpocket suspects, enhancing public safety through proactive detection and timely intervention.
[1CP0336] Credibility Evaluation of Twitter Based Event Detection by a Mixing Analysis of Heterogeneous Data
To develop a credibility evaluation framework for Twitter-based event detection that leverages the mixing analysis of heterogeneous data sources, aiming to improve the accuracy and reliability of detected events by filtering out misinformation and false reports.
[1CP0335] Clustering Based Collaborative Filtering Using an Incentivized Penalized User Model
To develop a clustering-based collaborative filtering recommendation system that incorporates an incentivized penalized user model to enhance recommendation accuracy by effectively handling user behavior variability and incentivizing honest feedback.
[1CP0334] Active online learning for social media analysis to support crisis management
To develop an active online learning framework that continuously analyzes social media data in real-time, enabling timely identification, classification, and monitoring of crisis-related information to support effective crisis management and decision-making.
[1CP0333] Verifiable and Multi keyword Searchable Attribute based Encryption Scheme for Cloud Storage
To design and implement a verifiable multi-keyword searchable attribute-based encryption scheme for cloud storage that ensures secure and efficient search over encrypted data, supports fine-grained access control, and provides verification of search results to guarantee data integrity and trustworthiness.
[1CP0332] Who You Should Not Follow Extracting Word Embeddings from Tweets to Identify Groups of Interest and Hijackers in Demonstration
To analyze Twitter data using word embeddings to identify groups of interest and potential hijackers during demonstrations, enhancing situational awareness and security monitoring.
[1CP0331] Secure Phrase Search for Intelligent Processing of Encrypted Data in Cloud Based IoT
To design and implement a secure phrase search scheme for encrypted data in cloud-based IoT environments that enables efficient and privacy-preserving retrieval of exact phrase queries, supporting intelligent data processing while ensuring data confidentiality and access control.
[1CP0330] Privacy Preserving Searchable Encryption with Fine grained Access Control
To design and implement a privacy-preserving searchable encryption scheme that supports fine-grained access control, enabling authorized users to securely search encrypted data while protecting data confidentiality and preventing unauthorized access.
[1CP0329] Efficient Client Side Deduplication of Encrypted Data with Public Auditing in Cloud Storage
To develop an efficient client-side deduplication scheme for encrypted data stored in the cloud that reduces storage overhead while enabling public auditing for data integrity verification, ensuring data confidentiality, storage efficiency, and trustworthy cloud storage services.
[1CP0328] Hidden Ciphertext Policy Attribute Based Encryption with Fast Decryption for Personal Health Record System
To design and implement a hidden ciphertext policy attribute-based encryption (CP-ABE) scheme with fast decryption tailored for personal health record (PHR) systems, ensuring strong data privacy, fine-grained access control, and efficient decryption performance to protect sensitive health information.
[1CP0327] Enabling Authorized Encrypted Search for Multi Authority Medical Databases
To develop a secure and efficient authorized encrypted search system for multi-authority medical databases that allows users to perform privacy-preserving searches on encrypted data, ensuring fine-grained access control, data confidentiality, and collaborative management across multiple authorities.
[1CP0326] Dynamic Multi Keyword Ranked Search Based on Bloom Filter Over Encrypted Cloud Data
To design and implement a dynamic multi-keyword ranked search scheme over encrypted cloud data using Bloom filters, enabling efficient, privacy-preserving, and accurate retrieval of relevant documents while supporting dynamic updates and protecting data confidentiality.
[1CP0325] Data Integrity Auditing without Private Key Storage for Secure Cloud Storage
To design and implement a data integrity auditing protocol for cloud storage systems that enables verification of data correctness and consistency without requiring users to store private keys, thereby enhancing security, usability, and trust in cloud data storage.
[1CP0324] A Trust Based Agent Learning Model for Service Composition in Mobile Cloud Computing Environments
To develop a trust-based agent learning model that intelligently composes and manages services in mobile cloud computing environments by evaluating trustworthiness, enhancing decision-making, and optimizing service selection to improve reliability, security, and quality of service.
[1CP0323] A Practical Attribute Based Document Collection Hierarchical Encryption Scheme in Cloud Computing
To design and implement a practical attribute-based hierarchical encryption scheme for document collections in cloud computing environments that ensures fine-grained access control, efficient key management, and robust data confidentiality while supporting scalable and secure sharing of encrypted documents based on user attributes.
[1CP0322] A Data Sharing Protocol to Minimize Security and Privacy Risks of Cloud Storage in Big Data Era
To design and develop a secure and efficient data sharing protocol that minimizes security and privacy risks associated with cloud storage in the big data era, ensuring data confidentiality, integrity, and controlled access while supporting scalable and seamless data sharing among authorized users.
[1CP0290] Crop Recommendation using SVM and decision Tree algorithm Using Java
To develop a crop recommendation system using SVM and Decision Tree algorithms in Java to suggest the most suitable crops based on soil and environmental parameters.
[1CP0289] An Identifier Heart Disease based risk prediction using dataset
To design a heart disease risk prediction system that analyzes patient datasets to identify individuals at high risk and support preventive healthcare measures.
[1CP0288] An Efficient Disease Analysis using lab report datasets
To develop an efficient system for disease analysis by utilizing lab report datasets, enabling accurate diagnosis and informed medical decision-making.
[1CP0287] A study on prediction of cancer using Data mining Techniques with CNN Algorithm
To analyze and predict cancer occurrence by applying data mining techniques integrated with Convolutional Neural Network (CNN) algorithms for improved diagnostic accuracy.
[1CP0286] A Hybrid E learning Recommendation Approach Based on Learners Influence Propagation
To develop a hybrid e-learning recommendation system that leverages learners’ influence propagation to enhance personalized course and content suggestions. d
[1CP0285] Hierarchical Attention Network for Visually aware Food Recommendation
To design a hierarchical attention network that integrates visual and textual features for generating accurate and personalized food recommendations.
[1CP0284] Privacy Preserving Tensor Decomposition over Encrypted Data in a Federated Cloud Environment
To develop a privacy-preserving framework for performing tensor decomposition over encrypted data in a federated cloud environment, ensuring data confidentiality and secure computation.
[1CP0283] Privacy Preserving Image Retrieval and Sharing in Social Multimedia Applications
To design a privacy-preserving system for secure image retrieval and sharing in social multimedia applications using encryption and feature protection techniques.
[1CP0282] Recommender System-Based Diffusion Inferring for Open Social Network
To develop a recommender system that accurately infers information diffusion patterns in open social networks, enhancing personalized content delivery and user engagement.
[1CP0281] Scalable and Secure Big Data IoT System Based on Multifactor Authentication and Lightweight Cryptography
To design and implement a scalable and secure IoT system that ensures data integrity and confidentiality in big data environments using multifactor authentication and lightweight cryptographic techniques.
[1CP0280] Identity Based Encryption Transformation for Flexible Sharing of Encrypted Data in Public Cloud
To design and implement an identity-based encryption transformation framework that enables flexible, secure, and fine-grained sharing of encrypted data in public cloud environments, ensuring data confidentiality and controlled access with minimal computational overhead.
[1CP0279] Academic performance prediction based on multistore multi feature behavioural data
To develop a predictive model that leverages multistore and multi-feature behavioral data to accurately forecast students’ academic performance, enabling early identification of at-risk students and supporting personalized educational interventions.
[1CP0278] Online Pricing with Reserve Price Constraint for Personal Data Markets
To develop an online pricing mechanism for personal data markets that incorporates reserve price constraints to ensure fair valuation and maximize seller revenue while maintaining buyer participation and data privacy.
[1CP0277] Emotion Correlation Mining Through Deep Learning Models on Natural Language Text
To utilize deep learning models to mine and analyze the correlations between different emotions expressed in natural language text, enabling a better understanding of complex emotional relationships and improving applications in sentiment analysis, mental health monitoring, and human-computer interaction.
[1CP0276] AdSherlock Efficient and Deployable Click Fraud Detection for Mobile Applications
To develop an efficient and deployable system, AdSherlock, that accurately detects click fraud in mobile applications by analyzing user behavior and click patterns, thereby protecting advertisers and app developers from fraudulent activities and ensuring the integrity of mobile advertising ecosystems.
[1CP0275] Detection of Malicious Social Bots Using Learning Automata With URL Features in Twitter Network
To design and implement a learning automata-based model that effectively detects malicious social bots on the Twitter network by analyzing URL-related features within tweets, thereby enhancing the security and authenticity of online social interactions.
[1CP0274] Detecting and Characterizing Extremist Reviewer Groups in Online Product Reviews
To develop an effective system for detecting extremist reviewer groups in online product reviews by analyzing their behavioral patterns, linguistic features, and interaction networks, and to characterize these groups in order to understand their impact on product reputation and consumer trust.
[1CP0273] User Behaviour Prediction of Social Hotspots Based on Multimessage Interaction and Neural Network
To develop an intelligent system that predicts user behavior patterns in social hotspots by analyzing multimessage interactions using neural network models, enabling enhanced understanding and proactive management of crowd dynamics.
[1CP0272] Trust Relationship Prediction in Alibaba E Commerce Platform
To develop a predictive model that accurately forecasts trust relationships between users on the Alibaba e-commerce platform, enhancing transaction security, user experience, and platform reliability.
[1CP0271] Crisis Critical Intellectual Property Findings From the COVID 19 Pandemic
To analyze and identify critical intellectual property trends and findings that emerged during the COVID-19 pandemic, providing insights to inform future crisis management, innovation strategies, and policy-making.
[1CP0270] Transferable Knowledge for Low cost Decision Making in Cloud Environments
To develop a framework that leverages transferable knowledge for efficient and low-cost decision-making in cloud environments, enabling adaptive resource management and optimization while minimizing operational costs and improving system performance.
[1CP0269] Large Universe Attribute Based Encryption with Public Traceability for Cloud Storage
To design and implement a large-universe attribute-based encryption scheme with public traceability for cloud storage, enabling flexible and scalable fine-grained access control while allowing public tracing of unauthorized data leaks to enhance accountability and data security.
[1CP0268] Joint Pricing and Security Investment for Cloud Insurance A Security Interdependency Perspective
To analyze and develop a joint pricing and security investment model for cloud service providers and insurers that accounts for security interdependencies, optimizing investment strategies and pricing mechanisms to enhance overall cloud security and risk management.
[1CP0267] Attribute Based Cloud Data Integrity Auditing for Secure Outsourced Storage
To develop an attribute-based data integrity auditing scheme for secure outsourced cloud storage that enables efficient and privacy-preserving verification of data correctness, supports fine-grained access control, and ensures trustworthiness in cloud environments.
[1CP0266] Secure Content Based Image Retrieval in the Cloud With Key Confidentiality
To design and implement a secure content-based image retrieval system in the cloud that preserves key confidentiality, enabling efficient and privacy-preserving search and retrieval of images based on their content while protecting encryption keys from unauthorized access.
[1CP0265] Secure Cloud Storage with Data Dynamics Using Secure Network Coding Techniques
To develop a secure cloud storage system that supports dynamic data operations using secure network coding techniques, ensuring data confidentiality, integrity, and efficient data repair and updates while enhancing storage reliability and security.
[1CP0264] Key Policy Attribute Based Encryption With Keyword Search in Virtualized Environments
To design and implement a key-policy attribute-based encryption (KP-ABE) scheme integrated with keyword search functionality tailored for virtualized environments, enabling fine-grained access control and secure, efficient search over encrypted data while preserving user privacy.
[1CP0263] Verifiable Attribute Based Keyword Search Over Encrypted Cloud Data Supporting Data Deduplication
To develop a verifiable attribute-based keyword search scheme over encrypted cloud data that supports efficient data deduplication, ensuring secure, privacy-preserving search and verification of search results while optimizing storage efficiency.
[1CP0262] SEPDP Secure and Efficient Privacy Preserving Provable Data Possession in Cloud Storage
To design a secure and efficient framework that enables cloud users to verify the integrity of their outsourced data without retrieving it, while preserving privacy. The system ensures provable data possession and minimizes computational overhead.
[1CP0261] Secure Data Group Sharing and Conditional Dissemination with Multi Owner in Cloud Computing
To design a secure cloud-based system that allows multiple data owners to share data efficiently while enforcing access control. To enable conditional dissemination of data ensuring privacy and integrity during multi-owner collaboration.
[1CP0260] Activity Minimization of Misinformation Influence in Online Social Networks
This project aims to develop a framework to minimize the spread of misinformation in online social networks by identifying influential sources and mitigating their impact.
[1CP0259] Pairing Free Certificate Based Searchable Encryption Supporting Privacy Preserving Keyword Search Function for IIoTs
To design and implement a pairing-free certificate-based searchable encryption scheme that enables privacy-preserving keyword search in Industrial Internet of Things (IIoT) environments, ensuring secure data access, reduced computational overhead, and resistance to unauthorized queries.
[1CP0258] A Fast Nearest Neighbor Search Scheme over Outsourced Encrypted Medical Images
To develop a fast and secure nearest neighbor search scheme for outsourced encrypted medical images, ensuring patient data confidentiality while enabling efficient and accurate medical image retrieval in cloud-based healthcare systems.
[1CP0257] Revocable Identity Based Broadcast Proxy re encryption for data sharing
To develop a revocable identity-based broadcast proxy re-encryption scheme that enables secure, efficient, and fine-grained data sharing with dynamic user revocation, ensuring data confidentiality and minimal computational overhead in distributed environments.
[1CP0256] An Integrated Privacy Preserving Attribute Based Acces Control Frame work supporting secure deduplication
To design and implement an integrated privacy-preserving framework that combines attribute-based access control with secure data deduplication, enabling efficient storage management and fine-grained access control while ensuring data confidentiality in cloud environments.
[1CP0255] Towards Achieving Keyword Search over Dynamic Encrypted Cloud Data with Symmetric Key Based Verification
To develop a secure and efficient keyword search framework over dynamic encrypted cloud data that incorporates symmetric-key based verification, ensuring data confidentiality, integrity, and accurate search results while supporting real-time data updates.
[1CP0254] E Books Recommendation System Using Reviewer Ratings
To develop an e-books recommendation system that leverages reviewer ratings to provide personalized and accurate book suggestions, enhancing user satisfaction and discovery.
[1CP0253] Trust based Collaborative Privacy Management in Online Social Networks
To design and implement a trust-based collaborative privacy management framework for online social networks that empowers users to control and protect their personal information through trusted relationships and shared privacy policies.
[1CP0252] Multi site User Behavior Modeling and Its Application in Video Recommendation
To develop a multi-site user behavior modeling approach that integrates user interactions across different platforms to enhance the accuracy and personalization of video recommendation systems.
[1CP0251] Multi Party High Dimensional Data Publishing under Differential Privacy
To develop a secure data publishing framework that enables multiple parties to share high-dimensional data while ensuring privacy preservation through differential privacy techniques, balancing data utility and confidentiality.
[1CP0250] Construct Food Safety Traceability System for Peoples Health Under the Internet of Things and Big Data
To develop a comprehensive food safety traceability system leveraging Internet of Things (IoT) sensors and big data analytics to monitor, track, and ensure the safety of food products, thereby protecting public health.
[1CP0249] LDP based Social Content Protection for Trending Topic Recommendation
To design a privacy-preserving trending topic recommendation system using Local Differential Privacy (LDP) techniques that protect users’ social content while maintaining recommendation accuracy.
[1CP0248] Emotion Recognition by Textual Tweets Classification Using Voting Classifier
To build an emotion recognition system that classifies emotions in textual tweets by leveraging a voting classifier ensemble method, improving the accuracy and robustness of emotion detection in social media text.
[1CP0247] Predicting Taxi and Uber Demand in Cities Approaching the Limit of Predictability
To develop and evaluate predictive models for forecasting taxi and Uber demand in urban areas, focusing on understanding and improving prediction accuracy as the system approaches its inherent limits of predictability.
[1CP0246] Popularity Prediction for Single Tweet Based on Heterogeneous Bass Model
To develop a predictive model using the heterogeneous Bass diffusion model to accurately forecast the popularity and spread of a single tweet by capturing diverse user adoption behaviors over time.
[1CP0245] Efficient Similarity Search for Sets over Graphs
To design and implement an efficient similarity search method for sets over graphs that enables fast and accurate retrieval of relevant graph-based data in large-scale applications.
[1CP0244] Answering Skyline Queries over Incomplete Data with Crowdsourcing
To develop an efficient framework that leverages crowdsourcing to accurately answer skyline queries on incomplete datasets, improving data completeness and query result quality in decision-making systems.
[1CP0243] Feature Re Learning with Data Augmentation for Video Relevance
To enhance video relevance prediction by applying feature re-learning techniques combined with data augmentation methods, improving the robustness and accuracy of video recommendation and retrieval systems.
[1CP0242] Joint Hypergraph Learning for Tag based Image Retrieval
To develop a joint hypergraph learning framework that effectively utilizes tag information and image features to improve the accuracy and efficiency of tag-based image retrieval systems.
[1CP0241] Social Recommendation with Learning Personal and Social Latent Factors
To design a social recommendation system that effectively learns and integrates both personal preferences and social latent factors to provide accurate and personalized recommendations in social networks.
[1CP0240] Discovering Hidden Topical Hubs and Authorities Across Multiple Online Social Networks
To develop methods for identifying and analyzing hidden topical hubs and authoritative users across multiple online social networks, enabling deeper insights into influence patterns and information dissemination within and across communities.
[1CP0239] Dynamic Connection Based Social Group Recommendation
To develop a dynamic social group recommendation system that leverages evolving user connections and interactions to suggest relevant and timely social groups, enhancing user engagement and community building on social platforms.
[1CP0238] Privacy Preserving User Profile Matchingin Social Networks
To design and implement a privacy-preserving framework for accurately matching user profiles across social networks while protecting sensitive user information and ensuring data confidentiality.
[1CP0237] Privacy Preserving Multi Keyword Searchable Encryption for Distributed Systems
To develop a privacy-preserving multi-keyword searchable encryption scheme for distributed systems that enables efficient and secure search over encrypted data across multiple servers, ensuring data confidentiality, user privacy, and accurate retrieval.
[1CP0236] A Lightweight policy update scheme for outsourced personal health records sharing
To design and implement a lightweight and efficient policy update scheme for securely sharing outsourced personal health records, enabling dynamic access control updates with minimal computational overhead while preserving data privacy and integrity.
[1CP0235] A Cloud Secure Storage Mechanism Based on Data Dispersion and Encryption
To develop a secure cloud storage mechanism that combines data dispersion and encryption techniques to enhance data confidentiality, availability, and fault tolerance, ensuring robust protection against unauthorized access and data loss.
[1CP0234] Provably secure and lightweight identity based authenticated data sharing protocol for cyber physical cloud environment
To design and implement a provably secure and lightweight identity-based authenticated data sharing protocol tailored for cyber-physical cloud environments, ensuring data confidentiality, integrity, authentication, and efficient communication with minimal computational overhead.
[1CP0233] KeyD Secure Key Deduplication with Identity Based Broadcast Encryption
To design and implement a secure key-deduplication scheme integrated with identity-based broadcast encryption that reduces storage overhead and enables efficient, secure data sharing among multiple users while ensuring data confidentiality and access control.
[1CP0232] Staff Log Management System
The aim of the Staff Log Management System is to monitor and record staff activities, attendance, and work performance efficiently. It helps in managing workforce productivity and maintaining accurate employee records.
[1CP0231] Online Movie Ticket Booking System
The aim of the Online Movie Ticket Booking System is to provide a convenient platform for users to browse movies, select seats, and book tickets online. It streamlines the booking process and reduces the need for physical queues at theaters.
[1CP0230] Legal Case Management System
The aim of the Legal Case Management System is to streamline the management of legal cases, documents, and schedules for law firms and courts. It helps track case progress, deadlines, and client information efficiently.
[1CP0229] Image re ranking based on Topic diversity
The aim of the Image Re-Ranking Based on Topic Diversity system is to improve search results by reorganizing images according to diverse topics. It enhances user experience by presenting a variety of relevant images rather than similar or repetitive ones.
[1CP0228] Event management A special kind of project management
The aim of the Event Management System is to plan, organize, and execute events efficiently while managing resources, schedules, and participants. It ensures smooth coordination and successful completion of events.
[1CP0227] Passport Application Management System with Verification
The aim of the Passport Application Management System with Verification is to digitize and streamline the passport application process. It ensures secure verification of applicant details for faster and more accurate processing.
[1CP0226] Online Water Supply Chain
The aim of the Online Water Supply Chain System is to manage and streamline the distribution of water from suppliers to consumers efficiently. It helps monitor demand, supply, and delivery schedules to ensure timely and transparent water distribution.
[1CP0225] Location Based Ambulance and Fire Engine
The aim of the Location-Based Ambulance and Fire Engine System is to provide real-time location tracking and dispatch of emergency vehicles for faster response. It ensures timely assistance in medical and fire emergencies by optimizing routes and vehicle allocation.
[1CP0224] Job portal management system
The aim of the Job Portal Management System is to create an online platform that connects job seekers with potential employers efficiently. It streamlines the recruitment process by managing job listings, applications, and candidate profiles.
[1CP0223] Electricity bill management system
The Electricity Bill Management System aims to automate bill generation, payment, and record management, providing users with a convenient and efficient platform for handling electricity bills.
[1CP0222] An Emporium of Hand Crafted Silk Sarees System
The Hand-Crafted Silk Sarees Emporium System aims to manage the catalog, inventory, and sales of silk sarees efficiently, providing a seamless shopping experience for customers.
[1CP0221] Bouquet of Florist Handling System
The Bouquet Florist Handling System aims to manage flower inventory, order processing, and delivery efficiently, ensuring timely service and customer satisfaction.
[1CP0220] College Fees Management System through Online
The College Fees Management System through Online aims to automate the collection, tracking, and management of student fees, providing a secure and efficient platform for both administrators and students.
[1CP0219] Creative Online Advertisement Portal for Multifarious
The Creative Online Advertisement Portal aims to provide a platform for businesses to showcase diverse products and services creatively, reaching a wider audience and increasing engagement.
[1CP0218] Design and Performance Implications of Pharmacy Information System
The Pharmacy Information System aims to streamline pharmacy operations, including inventory management, prescription processing, and sales tracking, enhancing efficiency and reducing errors.
[1CP0217] Effective Implementation of the Online Tiles Information System
The Online Tiles Information System aims to provide a digital platform for managing tile inventory, sales, and product details efficiently, improving customer access and business operations.
[1CP0216] Health Analysis and Recommendation Based on Food using Data Mining
The Health Analysis and Recommendation System aims to analyze dietary habits using data mining techniques and provide personalized health recommendations to improve overall well-being.
[1CP0215] Interactive Online Enterprise with the Innovation of Chemical Products
The Interactive Online Enterprise for Chemical Products aims to provide a digital platform for showcasing, managing, and innovating chemical product offerings, enhancing accessibility and business efficiency.
[1CP0214] Construct Food Safety Traceability System for Peoples Health Under the Internet of Things and Big Data
The Food Safety Traceability System aims to monitor and track food quality and safety using IoT devices and Big Data analytics, ensuring public health protection and timely interventions.
[1CP0213] Multifactor Prediction of Weather Forecasting System
The Multifactor Weather Forecasting System aims to predict weather conditions accurately by analyzing multiple environmental factors, helping in planning and disaster management.
[1CP0212] Online Auto Dealer Distributor Business System
The Online Auto Dealer Distributor Business System aims to manage vehicle inventory, sales, and distributor networks digitally, improving efficiency and customer service in the automotive business.
[1CP0211] Online based Visa Granted and Renewal Information system
The Online-Based Visa Granted and Renewal Information System aims to streamline visa application, approval, and renewal processes digitally, providing timely updates and reducing manual paperwork.
[1CP0210] Online Medical Consultation System
The Online Medical Consultation System aims to provide a digital platform for patients to consult with doctors remotely, ensuring timely medical advice and reducing the need for physical visits.
[1CP0209] Online Voting Using AADHAAR card with Multifactor Verification
The Online Voting system using Aadhaar card with multifactor verification aims to provide a secure and reliable platform for casting votes digitally, ensuring voter authenticity and preventing fraud.
[1CP0208] Real Time Emergency Aid System with analysis Vehicle Breakdown Finder Assistance and the Services
The Real-Time Emergency Aid System aims to provide immediate assistance during vehicle breakdowns by analyzing location data and dispatching aid services efficiently, ensuring timely support.
[1CP0207] Secured Data Sharing in University Portal
The Secured Data Sharing in University Portal system aims to provide a safe and efficient platform for sharing academic and administrative data among students, faculty, and staff while ensuring privacy and access control.
[1CP0206] Smart Connected Canteen Automated Information System
The Smart Connected Canteen Automated Information System aims to streamline canteen operations by automating ordering, inventory, and payment processes, enhancing efficiency and user convenience.
[1CP0205] An Implementation of E complaints Analysis for Quick Response to Citizen Complaints
The E-Complaints Analysis system aims to digitize and analyze citizen complaints to provide quick, efficient, and transparent responses, improving governance and public service delivery.
[1CP0204] EV Smart Charging with Advance Reservation
The EV Smart Charging with Advance Reservation system aims to provide electric vehicle users with a platform to book charging slots in advance, optimizing charging station usage and reducing wait times.
[1CP0203] Resort Management System
The Resort Management System aims to streamline resort operations, including booking, customer management, and service coordination, enhancing efficiency and guest satisfaction.
[1CP0202] Secure Blog with Graphical password
The Secure Blog with Graphical Password system aims to enhance blog security by using graphical passwords for user authentication, preventing unauthorized access and ensuring data privacy.
[1CP0201] Online Fitness Club
The Online Fitness Club system aims to provide a digital platform for fitness enthusiasts to access workout plans, track progress, and participate in virtual classes, promoting health and convenience.
[1CP0200] Inventory Management System
The Inventory Management System aims to efficiently track, manage, and control stock levels, purchases, and sales, reducing errors and optimizing resource utilization.
[1CP0199] Student Academic Performance Management System
The Student Academic Performance Management System aims to monitor, evaluate, and manage students’ academic records efficiently, helping educators track progress and identify areas for improvement.
[1CP0198] Library Management System
The Library Management System aims to automate library operations such as cataloging, borrowing, and returning books, improving efficiency and ease of access for both staff and users.
[1CP0197] Online Organ Donation Management System
The Online Organ Donation Management System aims to facilitate the registration, tracking, and allocation of organ donors and recipients digitally, ensuring transparency and timely medical support.
[1CP0196] A Secure Privacy Preserving e Government Framework using Blockchain and Artificial immunity technique
To develop a secure and privacy-preserving e-Government framework by integrating blockchain with artificial immune techniques, ensuring transparency, data integrity, and protection against malicious threats.
[1CP0195] Design of Operating distributions for a cable operator with the defined life cycles
The system aims to design and manage operating distributions for a cable operator by analyzing defined life cycles, ensuring optimal service delivery and resource utilization.
[1CP0194] Crop Recommendation based on weather crop details
The Crop Recommendation System aims to suggest suitable crops to farmers based on weather conditions and soil details, optimizing yield and reducing losses.
[1CP0193] Multitype Of Cake Emporium System
The Multitype of Cake Emporium System aims to manage the production, inventory, and sales of various types of cakes efficiently, providing better customer service and streamlined operations.
[1CP0192] Stock Prediction using data mining
The Stock Prediction using Data Mining system aims to analyze historical stock market data to forecast future trends, helping investors make informed decisions and minimize risks.
[1CP0181] E bus pass management system
The E-Bus Pass Management System aims to simplify and digitalize the process of issuing and managing bus passes, ensuring quick access and transparency. It enhances convenience for passengers and reduces manual effort for administrators.
[1CP0180] Car showroom management system
To develop a car showroom management system that manages vehicle inventory, sales, and customer information efficiently. The system streamlines operations, tracks vehicle availability, and enhances customer service.
[1CP0179] Bus ticket booking system
To design a bus ticket booking system that allows users to search, book, and manage bus tickets online efficiently. The system streamlines the booking process, provides real-time seat availability, and maintains passenger information securely.
[1CP0178] Blood Bank Management System
To develop a blood bank management system that efficiently manages donor information, blood inventory, and blood requests. The system ensures timely availability of blood and streamlines operations for better healthcare support.
[1CP0177] Automatic Answer Sheet Checker in Online Examination
To create an automatic answer sheet checking system for online examinations that evaluates student responses efficiently and accurately. This system reduces manual grading effort, ensures consistency, and provides instant results.
[1CP0176] Attendance Management Using QR Code
To develop an attendance management system using QR codes that allows students to mark their attendance quickly and accurately. The system reduces manual errors, saves time, and maintains a reliable attendance record.
[1CP0175] Airline Reservation System
To design an airline reservation system that enables users to search, book, and manage flight tickets efficiently. The system streamlines booking processes, ensures accurate seat allocation, and maintains passenger information securely.
[1CP0174] Advanced Seat Arrangement System Based On Exam
To develop an advanced seat arrangement system for exams that automatically allocates seats based on predefined rules and constraints. This system ensures fair distribution, minimizes errors, and optimizes seating efficiency.
[1CP0173] A Web to database system for collecting student College Events and Feed back
To design a web-based system that allows students to submit and view college events and provide feedback efficiently. The system centralizes event information and feedback data for easy management and analysis.
[1CP0172] A Framework for Discovering Similar Products from Online Bookstore
To develop a framework that identifies and recommends similar products from an online bookstore by analyzing product features, descriptions, and user interactions. This enhances user experience by facilitating efficient product discovery and personalized suggestions.
[1CP0141] Electronic Med care with Graphical Representation
The aim of this project is to develop an electronic medical care system that digitizes patient records, appointment scheduling, and treatment management. The system improves healthcare delivery by enabling efficient data access, remote consultations, and streamlined medical services.
[1CP0140] A Expired Medicine Waste Collector Website And Application
The aim of this project is to develop a website and application for collecting expired medicine waste, facilitating safe disposal and environmental protection. The system connects users with authorized collectors, promotes proper waste management, and raises awareness about pharmaceutical safety.
[1CP0139] College Bus Management System
The aim of this project is to develop a college bus management system that efficiently schedules routes, tracks buses in real-time, and manages student transportation details. The system ensures safety, punctuality, and effective communication between drivers, students, and administrators.
[1CP0138] A web portal for sales and purchase medicines
The aim of this project is to develop a web portal for the sale and purchase of medicines that provides a secure and user-friendly platform for customers and suppliers. The system streamlines order processing, inventory management, and delivery tracking to ensure timely access to medications.
[1CP0137] A Proof of Concept of Farmer to Consumer Food Products Traceability for Local Communities
This project aims to develop a proof-of-concept system for tracing farmer-to-consumer food products, ensuring transparency and authenticity in local supply chains.It promotes trust, supports local communities, and enhances food safety through end-to-end traceability.
[1CP0136] Personal Ad Communication System
To develop a dynamic, database-driven platform that connects customers with ad agencies for simplified ad posting and management. To provide categorized sections for effective communication and streamlined advertisement publishing.
[1CP0135] Online Camera Shopping With Datamining Algorithms
To design an online camera shopping platform that integrates data mining algorithms for personalized product recommendations. To enhance user experience by analyzing purchase patterns and predicting customer preferences.
[1CP0133] E digital book management System
The aim of this project is to develop an e-digital book management system that enables efficient organization, access, and distribution of digital books and resources. The system enhances user experience by providing easy search, borrowing, and reading functionalities.
[1CP0132] Online Quiz System based on Timing
The aim of this project is to develop an online quiz system with timed assessments that automatically manage question duration and submission. The system ensures fair evaluation, enhances user engagement, and supports efficient conduct of exams or practice tests.
[1CP0131] Student Result Processing System
The aim of this project is to develop a student result processing system that automates the collection, calculation, and publication of academic results. The system ensures accuracy, speeds up result generation, and provides easy access for students and faculty.
[1CP0130] Helpdesk Services for College Students
The aim of this project is to develop a helpdesk service system for college students that provides timely support for academic, administrative, and technical queries. The system improves communication, streamlines issue resolution, and enhances the overall student experience.
[1CP0129] Online Notice Board with Automatic Timetable generator
The aim of this project is to develop an online notice board system integrated with an automatic timetable generator that efficiently disseminates announcements and creates optimized schedules. The system improves communication, reduces manual effort, and ensures timely updates for students and staff.
[1CP0128] Smarts Cities Information based on location
The aim of this project is to develop a smart cities information system that provides location-based data on urban services, infrastructure, and resources. The system helps residents and authorities make informed decisions to improve city living, efficiency, and sustainability.
[1CP0127] College Workers Scheduling and Management system
The aim of this project is to develop a college workers scheduling and management system that efficiently organizes staff shifts, tasks, and attendance. The system improves workforce coordination, ensures timely task completion, and enhances overall operational efficiency within the college.
[1CP0126] Online Learning System
The aim of this project is to develop an online learning system that provides interactive educational content, course management, and student assessment tools. The system enhances accessibility, personalized learning, and efficient communication between instructors and learners.
[1CP0125] Online Digital Rental System
The aim of this project is to develop an online digital rental system that facilitates the rental of digital products or services through a secure and user-friendly platform. The system streamlines transactions, access control, and rental period management for both providers and customers.
[1CP0124] Student Complaints Management System
The aim of this project is to develop a student complaints management system that enables students to submit, track, and resolve their grievances efficiently. The system promotes transparency, timely responses, and improved communication between students and the administration.
[1CP0123] GYM Management System
The aim of this project is to develop a gym management system that efficiently handles member registration, attendance tracking, and workout scheduling. The system improves operational workflows, enhances member engagement, and supports effective management of gym resources.
[1CP0122] Car rental Management System
The aim of this project is to develop a car rental management system that streamlines vehicle booking, availability tracking, and payment processing. The system enhances customer experience, optimizes fleet utilization, and simplifies administrative tasks for rental service providers.
[1CP0121] Patient Portal Access to Diagnostic Test Results
The aim of this project is to provide patients with an online portal for easy diagnosis and health record management. It ensures quick access to medical information, improving efficiency and healthcare support.
[1CP0120] Laundry Management System
The aim of this project is to develop a laundry management system that automates order tracking, customer management, and billing processes. The system improves operational efficiency, reduces errors, and enhances customer satisfaction through timely service delivery.
[1CP0119] Orphanage Management system
The aim of this project is to develop an orphanage management system that efficiently handles the records of children, donations, volunteers, and daily activities. The system improves transparency, streamlines operations, and supports the well-being and care of the children.
[1CP0118] Online Furniture Management System
The aim of this project is to develop an online furniture management system that streamlines inventory control, order processing, and customer interactions. The system enhances operational efficiency and provides a seamless shopping experience for customers.
[1CP0117] Slots Booking For Sports
The aim of this project is to develop an online slot booking system for sports facilities that allows users to reserve time slots easily and manage bookings efficiently. The system optimizes resource usage, reduces conflicts, and enhances user convenience.
[1CP0116] Hotels with all facilities using web application
The aim of this project is to develop a web application for hotels that offers comprehensive facilities, including room booking, service requests, and amenities management. The system enhances guest experience by providing seamless access to hotel services and real-time support.
[1CP0115] Online Shopping Fish Aquarium
The aim of this project is to develop an online shopping platform dedicated to fish aquarium products, offering a wide range of aquatic supplies, fish species, and accessories. The system provides customers with a convenient, user-friendly shopping experience and reliable delivery services.
[1CP0113] Efficient Authentication for Mobile and Pervasive Computing
To design an efficient authentication mechanism tailored for mobile and pervasive computing environments. To ensure lightweight, secure, and seamless user verification with minimal computational overhead.
[1CP0111] Blockchain Assisted Verifiable and Secure Remote Sensing Retrieval in Cloud Environment
To develop a blockchain-assisted framework that ensures secure, verifiable, and tamper-proof retrieval of remote sensing data in cloud environments.
[1CP0099] Data Trust Framework Using Blockchain Technology and Adaptive Transaction Validation
To develop a blockchain-based data trust framework incorporating adaptive transaction validation mechanisms to ensure data integrity, security, and trustworthiness while optimizing performance and scalability across distributed systems.
[1CP0098] A Proxy Re encryption Approach to Secure Data Sharing in the of Things Based on Block Chain
To design and implement a proxy re-encryption scheme integrated with blockchain technology that enables secure, efficient, and flexible data sharing among Internet of Things (IoT) devices, ensuring data confidentiality, integrity, and controlled access.
[1CP0097] Blockchain based Decentralized Authentication Modeling Scheme in Edge and IoT Environment
To design and develop a blockchain-enabled decentralized authentication scheme that enhances security, privacy, and trust in edge computing and IoT environments by eliminating centralized points of failure and enabling efficient, tamper-proof identity verification.
[1CP0095] Fortified Chain A Blockchain Based Framework for Security and Privacy Assured Internet of Medical Things
To develop a blockchain-based framework, Fortified Chain, that ensures robust security and privacy for data generated and exchanged by Internet of Medical Things (IoMT) devices, safeguarding sensitive medical information and enhancing trust in healthcare systems.
[1CP0094] A Blockchain based Approach for Drug Traceability in Healthcare Supply Chain
To design and implement a blockchain-based system that ensures end-to-end traceability and transparency of drugs within the healthcare supply chain, enhancing drug authenticity, preventing counterfeit medicines, and improving patient safety.
[1CP0093] Blockchain Based Accounts Payable Platform for Goods Trade
To develop a transparent, efficient, and secure accounts payable platform using blockchain technology that automates and streamlines payment processes in goods trade, reduces fraud, enhances trust between trading partners, and ensures timely settlements.
[1CP0092] Fake product identification by QR code using blockchain
To create a secure and reliable system that utilizes blockchain technology combined with QR codes to authenticate products and effectively identify counterfeit goods, thereby protecting consumers and ensuring product integrity throughout the supply chain.
[1CP0091] Effective Management for Blockchain Based Agri Food Supply Chains
To develop an efficient and reliable management framework leveraging blockchain technology to enhance transparency, traceability, and accountability across agri-food supply chains, thereby improving operational efficiency, reducing fraud, and ensuring food safety from farm to consumer.
[1CP0090] A Trusted Blockchain Based Traceability System for Fruit and Vegetable Agricultural Products
To design and develop a secure, transparent, and tamper-proof blockchain-based traceability system that tracks fruit and vegetable agricultural products throughout the entire supply chain, ensuring product authenticity, quality, and safety for producers, distributors, retailers, and consumers.
[1CP0089] Sanitizable Access Control System for Secure Cloud Storage Against Malicious Data Publishers
To design and implement a sanitizable access control system for secure cloud storage that prevents malicious data publishing, ensures data integrity, and enables authorized modifications without compromising security or privacy.
[1CP0088] Enabling End to End Encrypted Cloud Emails With Practical Forward Secrecy
To develop an end-to-end encrypted cloud email system that incorporates practical forward secrecy, ensuring the confidentiality, integrity, and privacy of email communications while preventing retrospective decryption even if long-term keys are compromised.
[1CP0087] Adaptive Secure Nearest Neighbor Query Processing Over Encrypted Data
To design and implement an adaptive and secure framework for nearest neighbor query processing over encrypted data, ensuring data confidentiality, query accuracy, and efficiency while dynamically optimizing performance based on query patterns and data distribution.
[1CP0086] Achieving Efficient and Privacy Preserving Exact Set Similarity Search over Encrypted Data
To develop a secure and efficient framework for exact set similarity search over encrypted data that preserves user privacy, ensures query accuracy, and minimizes computational and communication overhead in cloud-based environments.
[1CP0085] Efficient and Privacy Preserving Similarity Range Query over Encrypted Time Series Data
To design and implement an efficient privacy-preserving framework for performing similarity range queries over encrypted time series data, ensuring data confidentiality, query accuracy, and low computational overhead while enabling secure and scalable analytics.
[1CP0084] BOEW A Content Based Image Retrieval Scheme Using Bag of Encrypted Words in Cloud Computing
To develop BOEW, a content-based image retrieval framework that leverages the Bag-of-Encrypted-Words model in cloud computing, enabling secure, efficient, and privacy-preserving image search without exposing sensitive visual content.
[1CP0083] Achieve Efficient and Verifiable Conjunctive and Fuzzy Queries over Encrypted Data in Cloud
To design and implement a secure framework that enables efficient and verifiable execution of conjunctive and fuzzy queries over encrypted cloud data, ensuring data confidentiality, query accuracy, and integrity verification while minimizing computational overhead.
[1CP0082] FASE A Fast and Accurate Privacy Preserving Multi Keyword Top k Retrieval Scheme Over Encrypted Cloud Data
To develop FASE, a fast and accurate privacy-preserving retrieval scheme that supports multi-keyword Top-k searches over encrypted cloud data, ensuring high search efficiency, strong data confidentiality, and minimal information leakage.
[1CP0081] Proxy Re Encryption for Secure Medical Data Sharing in Clouds
To design and implement a proxy re-encryption scheme that enables secure, efficient, and flexible sharing of medical data in cloud environments, ensuring data confidentiality, controlled access, and protection against unauthorized disclosures.
[1CP0080] Owner Enabled Secure Authorized Keyword Search Over Encrypted Data With Flexible Metadata
To develop an owner-enabled secure keyword search system over encrypted data that supports flexible metadata management, ensuring authorized access, data confidentiality, and efficient search capabilities while maintaining strong security guarantees.
[1CP0079] Social Recommendation with Characterized Regularization
To design a social recommendation system that incorporates characterized regularization techniques to improve recommendation accuracy by effectively capturing social influence and user preferences.
[1CP0078] Mining Online Product Evaluation System based on Ratings and Review
To develop a system that mines and analyzes online product evaluations by combining ratings and textual reviews to provide comprehensive insights into product quality and customer satisfaction.
[1CP0077] Structural and Textual Information Fusion for Symptom and Disease Representation Learning
To develop a representation learning framework that fuses structural data and textual information to effectively model symptoms and diseases, enhancing accuracy in medical diagnosis and knowledge discovery.
[1CP0076] Smart Health Prediction and drug recommendation Using Data Mining
To develop a smart health prediction system that utilizes data mining techniques to analyze patient data and provide accurate health condition forecasts along with personalized drug recommendations.
[1CP0075] A Study of Bug Management Using the Stack Exchange Question and Answering Platform
To analyze and evaluate bug management practices by leveraging data from the Stack Exchange Q&A platform, aiming to understand how developers report, discuss, and resolve software bugs effectively.
[1CP0074] Identifying User Relationship on WeChat Money Gifting Network
To analyze and identify user relationships within the WeChat money-gifting network by mining transaction patterns and social interactions, providing insights into social and financial behaviors.
[1CP0073] ESVSSE Enabling Efficient Secure Verifiable Searchable Symmetric Encryption
To design and implement an efficient and secure verifiable searchable symmetric encryption scheme that enables users to perform encrypted searches with verifiable results, ensuring data confidentiality and integrity.
[1CP0072] Item Recommendation for Word of Mouth Scenario in Social E Commerce
To develop an item recommendation system tailored for word-of-mouth scenarios in social e-commerce, leveraging social interactions and influence to enhance recommendation accuracy and customer engagement.
[1CP0071] Detect Professional Malicious User with Metric Learning in Recommender Systems
To design a metric learning-based approach to accurately detect professional malicious users in recommender systems, improving recommendation reliability and protecting users from deceptive behaviors.
[1CP0070] Suicide Ideation Detection using Multiple Feature Analysis from Twitter Data
To develop a secure and efficient system that enables dynamic range queries on encrypted cloud data, ensuring data confidentiality while supporting flexible and accurate query processing.
[1CP0069] Achieving Secure and Dynamic Range Queries Over Encrypted Cloud Data
To develop a secure and efficient system that enables dynamic range queries on encrypted cloud data, ensuring data confidentiality while supporting flexible and accurate query processing.
[1CP0067] Enabling Authorized Encrypted Search for Multi Authority Medical Databases
To develop a secure and efficient authorized encrypted search system for multi-authority medical databases, enabling privacy-preserving search over encrypted data with fine-grained access control and collaborative management among multiple authorities.
[1CP0066] Data Security With Third Party Admin In Cloud Storage
To develop a secure cloud storage framework that incorporates a trusted third-party administrator for managing data security, ensuring data confidentiality, integrity, and controlled access while enabling efficient data management and auditing.
[1CP0065] Data Leakage Detection in Cloud Computing Environment
To design and implement an effective data leakage detection system for cloud computing environments that identifies unauthorized data disclosures, enhances data security, and protects sensitive information from insider and outsider threats.
[1CP0064] Supporting Authorized Duplicate Check in a Hybrid Cloud Architecture
To develop a secure and efficient authorized duplicate detection mechanism within a hybrid cloud architecture, enabling data owners and users to identify and eliminate redundant data while preserving data privacy and access control.
[1CP0062] An Efficient Search Method Using Features to Match Joint Keywords on Encrypted Cloud Data
To design and implement an efficient search method that utilizes feature extraction to match joint keywords on encrypted cloud data, enabling accurate and privacy-preserving retrieval of relevant information while maintaining data confidentiality.
[1CP0057] Forward Secure Public Key Encryption with Keyword Search for Outsourced Cloud Storage
To develop a forward-secure public key encryption scheme integrated with keyword search capabilities for outsourced cloud storage, ensuring data confidentiality, search privacy, and resistance against key compromise over time.
[1CP0056] Dual Server Public Key Authenticated Encryption with Keyword Search
To design and implement a dual-server public-key authenticated encryption scheme integrated with keyword search functionality, enabling secure, efficient, and privacy-preserving search over encrypted data distributed across two servers while ensuring data integrity and authentication.
[1CP0055] EAFS An Efficient Accurate and Forward Secure Searchable Encryption Scheme Supporting Range Search
To design and implement EAFS, an efficient, accurate, and forward-secure searchable encryption scheme that supports range queries over encrypted data, ensuring strong data confidentiality, query privacy, and secure dynamic updates in cloud storage.
[1CP0054] Similarity Search for Encrypted Images in Secure Cloud Computing Secure Cloud Computing
To develop a secure and efficient similarity search scheme for encrypted images in cloud computing environments that enables privacy-preserving retrieval of visually similar images while maintaining data confidentiality and access control.
[1CP0053] A Verifiable and Fair Attribute based Proxy Re encryption Scheme for Data Sharing in Clouds
To design and implement a verifiable and fair attribute-based proxy re-encryption scheme for cloud data sharing that ensures secure delegation of decryption rights, enforces fine-grained access control, and provides verifiability and fairness in the re-encryption process.
[1CP0052] Deep Neural Network Based Severity Prediction of Bug Reports
To develop a deep neural network-based model for accurately predicting the severity of bug reports, enabling efficient prioritization, faster issue resolution, and improved software maintenance workflows.
[1CP0050] Secure Image Retrieval Based On Federated Learning and Additive Secret Sharing
To develop a secure image retrieval system by leveraging federated learning and additive secret sharing, ensuring privacy-preserving distributed training and protection of sensitive image data.
[1CP0049] Authenticated Key Agreement Scheme for Fog Computing in a Health Care Environment
To design a secure authenticated key agreement scheme for fog computing in healthcare environments, ensuring confidentiality, integrity, and privacy of sensitive medical data.
[1CP0048] Mitigating Software Integrity Attacks With Trusted Computing in a Time Distribution Network
To enhance the security of time distribution networks by mitigating software integrity attacks using trusted computing mechanisms. This ensures reliable and tamper-proof time synchronization across critical infrastructures.
[1CP0047] Fusion Based Methods for Result Diversification in Web Search
To design fusion-based methods for result diversification in web search, enhancing user satisfaction by providing diverse, relevant, and non-redundant search results.
[1CP0046] Sentiment Analysis Capturing Favorability using Natural Language Processing
To perform sentiment analysis using Natural Language Processing techniques for capturing favorability, enabling better understanding of public opinions and user attitudes.
[1CP0045] Prediction analysis of risk credit using Data Mining Classification Models using Dataset
To develop and evaluate data mining classification models for accurately predicting credit risk by analyzing relevant financial and demographic datasets, thereby aiding in effective credit decision-making.
[1CP0044] Drugs Recommendation based on User Diseases
The aim of this project is to develop a drug recommendation system that suggests appropriate medicines based on the user’s diagnosed diseases. This system enhances treatment accuracy, supports healthcare decision-making, and ensures timely access to relevant medication information.
[1CP0043] Personalized real time movie recommendation system Practical prototype and evaluation
To develop and evaluate a practical prototype of a personalized real-time movie recommendation system that dynamically adapts to user preferences and behaviors to provide accurate and timely movie suggestions.
[1CP0042] Rumor Detection in Twitter an Analysis in Retrospect
To analyze and develop effective methods for detecting rumors on Twitter by examining their propagation patterns and linguistic features, aiming to improve early identification and mitigation of misinformation.
[1CP0041] A Framework Identifications and Analysis Tourist Transport Data Information
To design a comprehensive framework for the identification, collection, and analysis of tourist transport data, enabling better understanding and optimization of transportation services for tourism.
[1CP0040] Intelligent Health Diagnosis Technique Exploiting Automatic Ontology Generation and Web Based Personal Health Record Services
To develop an intelligent health diagnosis system that leverages automatic ontology generation and integrates with web-based personal health record services to provide accurate, personalized, and efficient medical assessments.
[1CP0039] Project allocation and auction community system through online
To develop an online platform that facilitates efficient project allocation and auction-based community interactions, enabling users to bid for projects and allocate resources effectively.
[1CP0038] A Verifiable Cloud Data Deduplication Scheme With Integrity and Duplication Proof
To design a verifiable cloud data deduplication scheme that ensures storage efficiency while providing strong integrity verification and secure duplication proof for user data.
[1CP0037] Toward Detecting Malicious Links in Online Social Networks through User Behavior
To develop an intelligent detection system that identifies malicious links in online social networks by analyzing user behavior patterns, enhancing the security and trustworthiness of social platforms.
[1CP0036] Top k Dominating Queries on Incomplete Data
To design and implement efficient algorithms for processing top-k dominating queries on incomplete datasets, enabling accurate and timely identification of dominant data points despite missing or uncertain information.
[1CP0035] Translating Algorithms to handle Fully Homomorphic Encrypted Data on the Cloud
To develop and adapt algorithms capable of efficiently processing and analyzing fully homomorphic encrypted data in cloud environments, enabling secure computation on encrypted data without compromising privacy.
[1CP0034] Enhancement of Cloud Computing Security with Secure Data Storage using AES
To enhance cloud computing security by implementing secure data storage using Advanced Encryption Standard (AES), ensuring data confidentiality, integrity, and protection against unauthorized access in cloud environments.
[1CP0033] Achieving Secure Role Based Access Control on Encrypted Data in Cloud Storage
To develop a secure role-based access control (RBAC) mechanism for encrypted data in cloud storage that enforces fine-grained access permissions, ensures data confidentiality, and supports efficient and flexible user management.
[1CP0032] Data secure duplication and recovery based on public key encryption with keyword search
To design and implement a secure data duplication and recovery scheme based on public key encryption with keyword search, enabling efficient detection of duplicate encrypted data and reliable data recovery while preserving data confidentiality and search privacy.
[1CP0031] Two Factor Authentication Application
To develop a Two-Factor Authentication (2FA) application that enhances account security by requiring an additional verification step. The goal is to prevent unauthorized access and strengthen user authentication.
[1CP0030] Theatre Ticket Booking Management System
To develop a Theatre Ticket Booking Management System that automates seat reservations and ticket issuance. The goal is to enhance booking efficiency, reduce errors, and improve the overall customer experience.
[1CP0029] TechCommunity management using React and Spring Boot Application
To develop a TechCommunity Management application using React and Spring Boot for seamless interaction and administration of a tech community. The goal is to facilitate member management, event coordination, and knowledge sharing efficiently.
[1CP0028] Sports Club Management System
To develop a Sports Club Management System that efficiently handles member registrations, events, and facility bookings. The goal is to streamline club operations, enhance member engagement, and improve overall management efficiency.
[1CP0027] Retailer Manufacture System Management
To develop a Retailer-Manufacturer System Management platform that streamlines interactions, orders, and inventory between retailers and manufacturers. The goal is to enhance supply chain efficiency, reduce errors, and improve business coordination.
[1CP0026] Personal Expense Tracking Management System
To develop a Personal Expense Tracking Management System that helps users monitor and manage their daily expenses. The goal is to improve financial planning, budgeting, and overall money management efficiency.
[1CP0025] Online Crypto Currency Transfer Web Application
To develop an Online Cryptocurrency Transfer Web Application for secure and efficient digital currency transactions. The goal is to enable fast, reliable, and safe transfers while ensuring user privacy and transaction integrity.
[1CP0024] On Demand Roadside Assistance Immediate Mechanic Support System
To develop an On-Demand Roadside Assistance system that provides immediate mechanic support to users in emergencies. The goal is to ensure quick, reliable, and efficient vehicle assistance anytime, anywhere.
[1CP0023] My Portfolio Website Management system
To develop a Portfolio Website Management System that allows users to create, update, and manage their personal or professional portfolios. The goal is to showcase skills and projects effectively while providing an easy-to-use management interface.
[1CP0022] Inventory Management System Using Spring Boot Framework
To develop an Inventory Management System using the Spring Boot framework for efficient tracking and management of stock. The goal is to optimize inventory control, reduce errors, and improve overall operational efficiency.
[1CP0021] Hospital Management System Using Spring Boot Framework
To develop a Hospital Management System using the Spring Boot framework for efficient management of patient records, appointments, and hospital operations. The goal is to streamline healthcare processes, improve data accuracy, and enhance patient care.
[1CP0020] Generative Ai Based Personalized Course Generation Platform Using SpringBoot
To develop a Generative AI-based platform using Spring Boot for personalized course generation. The goal is to create customized learning paths tailored to individual learner needs, enhancing engagement and learning outcomes.
[1CP0019] Employee Management System using sprinboot frame work
To develop an Employee Management System using the Spring Boot framework for efficient handling of employee records and operations. The goal is to streamline HR processes, improve data management, and enhance organizational productivity.
[1CP0018] Design And Development Of Blockchain Technology Based Secure System For Cow Health Monitoring
To design and develop a blockchain-based secure system for monitoring cow health. The goal is to ensure real-time, tamper-proof tracking of health data to improve livestock management and welfare.
[1CP0017] Creating A Cyber Triage Tool To Streamline Digital Forensics Investigation Using Spring Framework
To develop a Cyber Triage Tool using the Spring Framework to streamline digital forensics investigations. The goal is to accelerate evidence collection and analysis while improving accuracy and efficiency in cybercrime investigations.
[1CP0016] Blockchain Based Banking Three Stage Verifications
To design a blockchain-based banking system with three-stage verification for enhanced security. The goal is to ensure secure, transparent, and tamper-proof banking transactions.
[1CP0015] Bank Management System
To develop a Bank Management System that efficiently manages customer accounts, transactions, and banking operations. The goal is to enhance accuracy, security, and overall operational efficiency in banking services.
[1CP0014] Airline Ticket Booking And Email Generation System
To develop an Airline Ticket Booking and Email Generation System that automates ticket reservations and confirmation notifications. The goal is to streamline the booking process and improve communication with customers.
[1CP0013] User Interface of Blockchain Based Agri Food Traceability Applications A Review
To review the user interface design of blockchain-based agri-food traceability applications. The goal is to identify best practices and challenges to enhance usability and transparency in traceability systems.
[1CP0012] Secure Cloud Storage System Using Homomorphic Encryption
To design a secure cloud storage system leveraging homomorphic encryption for data protection. The goal is to allow computations on encrypted data while ensuring confidentiality and integrity in the cloud.
[1CP0011] Net Spam a Network based Spam Detection Framework for Reviews in Online Social Media
To develop Net Spam, a network-based framework for detecting spam in online social media reviews. The goal is to improve the accuracy and efficiency of identifying fraudulent or misleading content.
[1CP0010] IoT SecSim A Framework for Modelling and Simulation of Security in Internet of Things
To develop IoT SecSim, a framework for modeling and simulating security in Internet of Things environments. The goal is to analyze potential vulnerabilities and enhance IoT system security through efficient simulation.
[1CP0009] College Venue Booking Management System
To develop a College Venue Booking Management System that streamlines the process of reserving campus venues. The goal is to improve scheduling efficiency, reduce conflicts, and simplify administrative management.
[1CP0008] Attribute Based Searchable Encryption With Forward Security for Cloud Assisted IoT
To design an attribute-based searchable encryption scheme with forward security for cloud-assisted IoT systems. The goal is to enable secure and efficient data search while protecting against future key compromises.
[1CP0007] ATM Verification Management System
To develop an ATM Verification Management System that ensures secure and accurate user authentication. The goal is to prevent unauthorized access and enhance the safety of banking transactions.
[1CP0006] An Encrypted Cloud Email Searching and Filtering Scheme Based on Hidden Policy Ciphertext Policy Attribute Based Encryption With Keyword Search
To design an encrypted cloud email searching and filtering scheme using hidden policy ciphertext-policy attribute-based encryption with keyword search. The goal is to enable secure, privacy-preserving, and efficient email search and filtering in cloud environments.
[1CP0005] Achieving Secure Verifiable And Efficient Boolean Keyword Searchable Encryption For Cloud Data Warehouse
To develop a secure and verifiable Boolean keyword searchable encryption scheme for cloud data warehouses, ensuring data confidentiality and integrity. The goal is to enable efficient and accurate search over encrypted data without compromising security.
[1CP0004] A Novel Design of Weighted Similarity Searching Model based on Modified K Optimization Logic over Cloud Server Environment
To design an efficient weighted similarity searching model using modified K-Optimization logic for cloud environments, improving search accuracy and speed. The goal is to enhance data retrieval performance while ensuring optimal resource utilization in cloud servers.
[1CP0003] A New Framework for Fraud Detection in Bitcoin Transactions Through Ensemble Stacking Model in Smart
To develop a robust framework for detecting fraudulent Bitcoin transactions using an ensemble stacking model, enhancing accuracy and reliability. The goal is to provide a smart, automated system that minimizes financial risks and improves transaction security.
[1CP0002] Animal Welfare and Rescue web application
To develop an Animal Welfare and Rescue Web Application that facilitates reporting, rescue, and care of animals in need. The goal is to improve animal protection efforts and streamline rescue operations.
[1CP0001] Social Media Forensics An Adaptive Cyberbullying Related Hate Speech Detection Approach Based on Neural Networks With Uncertainty
To develop an adaptive social media forensics framework that detects cyberbullying-related hate speech using neural networks. The approach focuses on handling uncertainty in language patterns for more accurate and reliable detection.