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.
[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.
[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.