Paste any essay and find out if a human or an AI wrote it. Django + scikit-learn, sentence-level highlighting, PDF reports, REST API. Full source code included.
A working course recommender built on real Harvard enrollment data — KMeans clustering plus cosine similarity, wrapped in a Flask app with search, analytics dashboard and a JSON API. Runs on your laptop in 10 minutes.
A Flask and XGBoost powered dream journal that detects emotions, flags recurring dream symbols, and generates AI interpretations using Groq — a complete AI/ML final year project with source code.
An AI-powered Django and Next.js final year project that generates platform-ready social media captions and hashtags from a single topic using the Groq LLaMA API.
A Flask and scikit-learn final year project that predicts drinking water potability from 9 physicochemical parameters with WHO safety flags and risk scoring.
A Django-based smart traffic system that uses YOLOv8 vehicle detection to read live lane density and auto-adjust signal timings, with a real-time Obsidian Gold NOC-style dashboard.
A machine learning-powered carbon footprint calculator built with Python and Streamlit that predicts your annual CO2 emissions based on lifestyle inputs.
An AI-powered Streamlit application that scans any GitHub profile or repository and generates a recruiter-style evaluation report, covering code quality signals.
A Flask and scikit-learn web app that checks drug-drug interactions across 191,000+ DrugBank pairs and classifies severity as Major, Moderate, or Minor. When a pair is not in the database, a trained Random Forest model predicts the severity.
A Flask machine learning web app that reads your current skills and target career, analyses 9,000 real Naukri job postings, and builds a week-by-week learning roadmap.
JobGuard AI is an AI-powered system that detects fake job postings using NLP and machine learning. It analyzes job descriptions in real time and helps users identify recruitment scams with confidence-based predictions.
A real-time 3D anime avatar that listens to your voice, reads your emotion, and talks back with a natural female voice and live lip-sync. Built with Next.js, Three.js, and Groq. A standout AI final year project with full source code.
Predict whether a road accident will be Slight, Serious, or Fatal using 32 real-world features covering driver profile, vehicle data, road conditions, and environment
MindMate is an AI mental health companion built with Django and Groq's LLaMA 3.3 70B that offers empathetic chat, mood tracking, private journaling, and instant crisis helpline support.
A full-stack web application that automatically checks your research paper against conference formatting guidelines — font, margins, page count, citation style, required sections — and emails a detailed compliance report within seconds.
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.