BradykinesiaCam is a clinical-grade computer vision platform that analyzes finger-tapping videos using MediaPipe Hands to score bradykinesia severity against UPDRS Part III benchmarks, classifying disease and medication state with 91% sensitivity and 97%.
A Python final year project that fetches live pollution data from the WAQI API, processes it through a trained XGBoost model, and delivers real-time AQI readings plus a next-day forecast for any Indian city.
A deep learning-based web application that detects plant leaf diseases from images using a PyTorch CNN model. Covers 39 disease classes across 13 crops with real-time confidence scoring, treatment guidance, weather-based risk analysis, and a Groq-powered
A full-stack Django web application that monitors maternal health during pregnancy using machine learning risk prediction, an AI-powered chatbot built on Groq Llama 3.3, health metric tracking with trend charts, medicine scheduling with email reminders..
A full-featured women safety mobile application built with Flutter that combines one-tap SOS alerts, silent emergency SMS with GPS location, automatic audio recording, fake call simulation, and emergency history logging.
SevaSetu is a Django-based full-stack home services marketplace connecting users with verified professionals, featuring AI voice booking (Groq LLaMA), real-time chat, Razorpay payments, and PDF invoicing.
VishGuard AI detects fake or manipulated voice in vishing attacks using TensorFlow, Flask, and librosa. It uses CNN/CNN+LSTM on log-mel spectrograms and delivers real-time predictions via a web interface.
Create a lifelike digital persona of your loved ones using WhatsApp chats and voice recordings. AI After Life preserves their personality and voice, enabling natural conversations through text and speech.
SnapCam – A Django + JS browser camera app with face-api.js facial detection, 12 filters, 20 AR stickers, timer modes & photo gallery. Perfect for BCA/MCA/BTech/BSc IT final year projects.
A Django-powered secure file storage and transfer platform with passcode-protected uploads, ClamAV virus scanning, SHA-256 integrity checks, expirable sharing links, and email-based file delivery without requiring recipient accounts.
AirPulse is a Python Flask web application that predicts next-day Air Quality Index for 20 Indian cities using an XGBoost model trained on 6 years of CPCB pollution data, with a real-time glassmorphism dashboard powered by the WAQI API.
A fully playable AI-powered dungeon crawler where an LLM acts as a live Dungeon Master, generating branching narratives, enemies, loot, and quests in real time.
SymptIQ is an AI disease prediction web app built with Django and scikit-learn that analyzes symptoms to predict possible diseases with confidence scores and precautions.
SoulSync is an emotionally intelligent AI companion Flutter app featuring dual-gender AI partners, real-time voice calling, a Limbic Resonance Engine, glassmorphism UI, and Groq-powered conversation — a standout AI final year project with full source code
A full-stack Django web application that teaches students about climate change, air quality, deforestation, and sustainability through gamification, interactive quizzes, real-world data analytics, and machine learning.
AI-powered movie recommendation engine that detects your real-time facial emotions using DeepFace and curates perfect films based on your mood. Complete Django project with webcam integration, 84+ curated films, and privacy-first design.
CyberSec Guard is a Django-based cybersecurity awareness training platform with phishing simulations, quizzes, gamification, role-based dashboards, and compliance reporting.
AgriSmart is an intelligent agricultural advisory system built with Flask and machine learning that predicts crop yield, detects 33+ plant diseases from leaf images using CNN, recommends NPK fertilizers, and forecasts weather patterns.
A full-stack final year project built with React.js and Flask, featuring AI-based plant disease detection, soil analysis, crop recommendation, yield prediction, live weather integration, and a farmer marketplace with Razorpay payment gateway.
Computer vision project that classifies breast ultrasound images into three categories including Normal. OpenCV converts each scan to a 16,384-feature vector, and a GridSearchCV-tuned SVM predicts the class at 97% accuracy.
Advanced machine learning system for automated apple weight prediction, quality classification, and disease detection using computer vision and ensemble ML models. Built with Flask, XGBoost, and OpenCV for agricultural quality control.
AI-powered plant disease detection system using Flask and TensorFlow, classifying 33 diseases across 9 crops with 96% accuracy. Includes source code, documentation, and setup guide for final year students.
A production-ready Django web app for occlusion-aware object detection in self-driving scenarios using YOLOv8, featuring Standard, Soft-NMS, and DIoU-NMS, with real-time webcam inference, REST API, and an interactive analytics dashboard.
