House Oracle
An end-to-end real estate price prediction system with a modern web interface.
House Oracle is a full-stack Machine Learning application that predicts house prices based on location, area, and amenities.
Tech Stack:
- Frontend: HTML5, CSS3, and Vanilla JavaScript for a responsive UI.
- ML Pipeline: Trained on city-specific datasets (Lahore, Karachi, Islamabad) using predictive modeling.
- Interactive Visualizations: Users can explore price trends and property distributions directly in the browser.
The system uses pre-computed artifacts to serve predictions instantly without needing a heavy backend server.