End-to-End House Price Prediction System (ML + Full-Stack)

Developed a production-ready machine learning system for real estate price prediction using structured and geospatial data.

1. Built advanced regression models (XGBoost, LightGBM, Deep Neural Networks) to predict housing prices with high accuracy
2. Performed extensive feature engineering including location encoding, geospatial clustering, and time-series trend extraction
3. Designed scalable data pipelines for preprocessing large datasets (millions of records)
4. Deployed models using FastAPI and Docker with real-time inference APIs
5. Integrated frontend dashboard for visualization using React