PomegradeAI is an end-to-end AI final year project that uses a fine-tuned EfficientNetB0 deep learning model to classify pomegranates into three quality grades through a Flutter mobile app and Django REST API backend. It achieves 97.4% test accuracy.
An AI-powered Hantavirus outbreak prediction system using Python, Flask, XGBoost, Prophet, SARIMA, and LSTM to forecast disease spread from climate and environmental data.
PCOS Tracker is an AI-powered Flutter and Django wellness app that helps women manage PCOS symptoms, track menstrual cycles, log lifestyle habits, and get ML-based risk assessment with 83%+ accuracy.
RecipeGen is an AI-powered personal chef web application built with Django, Next.js, and Groq Llama 4 Scout that generates fully personalised recipes from your fridge ingredients, dietary restrictions, and favourite cuisines.
A complete Django-based DevSecOps dashboard that unifies SonarQube, OWASP ZAP, GitLeaks, Dependency Check, Jenkins, and Docker into one powerful security visualization platform. Perfect final year project for CSE, IT, and MCA students.
A full-stack Django web application that predicts Air Quality Index for four Mumbai stations using XGBoost ML model and live meteorological data from the Windy API.
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.
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.
