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.
A powerful Django-based web application that scans websites for common security vulnerabilities including SQL Injection, Cross-Site Scripting (XSS), and Cross-Site Request Forgery (CSRF).
LeafScan AI uses deep learning to detect 33 types of leaf diseases across 9 plant species with up to 96% accuracy. Ideal for agricultural professionals and farmers.
A thrilling top-down space shooter game built using Pygame, featuring boss battles, multiple enemy types, upgradable weapons, stunning visual effects, and a high score system.
A web-based signature verification system that leverages deep learning to authenticate signatures using uploaded images or real-time webcam input with confidence scoring.
A secure file storage application built with Django that uses AES encryption and optional face recognition for enhanced security. Store, encrypt, and manage files safely with a modern responsive interface.
A smart attendance system that uses computer vision for face recognition and uniform verification to mark attendance in real-time. Ideal for schools, colleges, and offices.
Form-based diagnostic tool that takes 30 numeric cell-nucleus measurements (radius, texture, concavity and 7 more, across mean/SE/worst values) and predicts Benign or Malignant with probability scores. Pure tabular ML — no image processing involved.
A fully functional MERN stack e-commerce platform tailored for "Xtreme", a direct-to-consumer shoe brand targeting Men & Women. Includes buyer, seller, and admin dashboards with scalable architecture.
An AI-powered web app that detects human blood group from fingerprint images using Convolutional Neural Networks (CNN) with real-time results and a sleek UI.
