Featured Projects
MetroVerse AI
Problem: Metro commuters rely on multiple apps for route planning, ticketing, crowd information and station guidance.
Solution: Built a unified AI-powered metro assistant integrating smart routing, ML crowd prediction, conversational AI, live navigation and digital ticketing into one platform.
- Dijkstra-based shortest path routing across 262 stations on 11 metro lines
- ML-based crowd prediction model integrated across live routes
- Groq Llama 3.3 powered AI assistant with session memory
- QR ticketing, metro card management and real-time journey navigation
- Push notifications, QR station scanner and nearby tourist guide
VibeVerse
Problem: Students face anxiety and loneliness in new environments without personalized emotional support.
Solution: An AI-powered companion that understands sentiment and provides tailored wellness tools.
- Real-time mood detection using TextBlob sentiment analysis
- Mood-based personalized music recommendations via the Spotify API
- Daily journaling and streak tracking to build confidence
Smart College Assistant
Problem: Managing college resources and getting academic assistance was scattered and inefficient for students.
Solution: A centralized smart web platform to streamline student interaction with academic resources.
- Bilingual Hindi/English NLP chatbot trained on 500+ QA pairs using TF-IDF and a Voting Classifier (SVM + Logistic Regression + Random Forest)
- Responsive, student-focused interface for seamless navigation
- 10+ campus modules (chatbot, attendance, marks, dashboard) unified into one Flask REST API backend
Fake Certificate Detection ML
Problem: Manual certificate verification is slow and error-prone, letting forged documents slip through undetected.
Solution: A Machine Learning model that automatically classifies and detects manipulated certificates based on data patterns.
- Trained a Random Forest classifier on 34,000+ certificate records, achieving 84% classification accuracy
- Automates candidate evaluation & document screening pipelines
- Rigorous data preprocessing & feature engineering to boost model accuracy
House Price Prediction
Problem: Buyers and real estate agents struggle to accurately estimate property values from complex multi-variable data.
Solution: A predictive ML regression model that estimates house prices given various real-world housing parameters.
- Processes historical housing datasets to identify price trends
- Linear Regression delivering fast and accurate predictions
- Reliable data-driven baseline for property valuation