Revolutionary final year project combining Quantum Computing with AI/ML for pediatric epilepsy detection. Perfect for computer science students seeking unique, industry-ready healthcare AI solutions with 95%+ accuracy and professional Flask web interface.
Heart disease risk predictor that combines four algorithms — Random Forest, Gradient Boosting, Extra Trees and a neural network — into one voting classifier. Flask web interface included.
A comprehensive Django-based menstrual cycle tracking application with AI-powered predictions, symptom monitoring, mood tracking, and personalized health insights for women's wellness management.
A sleek Django-powered web app that visually demonstrates how popular hash algorithms work — from input to encrypted output — with step-by-step animation, dark-theme UI, history tracking, and enterprise-grade security.
Unlock the power of AI with AI Age Detector Pro – a real-time, deep learning-powered age estimation system built in Python using OpenCV, DNN, and Tkinter. Detect faces, estimate age groups, and export results with a sleek dark-themed GUI.
A full-stack Django-powered second-hand book marketplace where users can buy, sell, and discover quality pre-loved books. Features secure Razorpay payments, responsive design, admin dashboard, and future-ready AI recommendations.
MalwareGuard AI – A Flask-based malware detection system combining static analysis, YARA rules, VirusTotal API, and deep learning for accurate threat detection. Features a web dashboard, real-time monitoring, and REST API.
AI-powered tool to detect screen addiction in kids (8–18) using K-Means, DBSCAN & Isolation Forest for real-time risk analysis and personalized recommendations.
Discover recipes using just an image! This Django-based AI project lets users search recipes by uploading food photos using OpenCV, CLIP, and FAISS. Perfect for final year students seeking unique, high-impact Python projects.
Hide secret messages securely inside images using AES-256 encryption and LSB steganography. This advanced Python-based project is perfect for final year students seeking a unique, secure, and real-world applicable project with GUI & CLI support.
A cutting-edge Python ML project for house price prediction using Flask & scikit-learn — ideal for final year students. Get source code, setup guide, explanation, and report starting at just ₹99!
A smart, AI-powered college chatbot built with Django and Google Gemini API that answers student queries about courses, timetables, events, admissions, and more — instantly and accurately.
A complete Flutter-based fitness tracking app with goal setting, workout routines, nutrition logging, and analytics — perfect for final year college projects, students, and developers. Source code available from ₹99. Add-ons: Project Setup, Code Explanati
A smart, beautifully designed Flutter-based todo app featuring voice notes, analytics, Pomodoro timer, and advanced task tracking—perfect for final year projects and productivity apps.
An innovative UPI fraud detection system using advanced machine learning to analyze transactions in real-time, preventing fraud with 99%+ accuracy. Ideal as a final year college project or best Python project for students seeking unique projects
A powerful web application that leverages machine learning and data visualization to analyze crime trends and predict case outcomes in major Indian cities. Ideal for law enforcement, researchers, and students.
PhishGuard is an advanced AI-powered phishing email detection system built with Python, Flask, and Scikit-learn that analyzes email content in real-time to identify and flag potential phishing attempts with high accuracy.
A responsive web application that predicts diseases using symptoms selected by users with Machine Learning models (Random Forest & Naive Bayes) . Accurate, fast, and mobile-friendly.
AI-powered Flask web application with YOLOv8 for real-time object detection from webcam streams and video files. Download processed videos with bounding boxes.
A machine learning-powered web application that predicts student academic performance using neural networks. Enter study hours, attendance, and prior grades to get real-time score predictions and actionable insights.
