A production-ready final year project that replaces manual attendance registers with time-limited QR code scanning. Teachers generate a QR code per lecture from their dashboard; students scan it within five minutes using their phone camera.
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.
