Description:
An interactive web app to predict house prices based on user inputs like area (sq. ft), number of bedrooms and bathrooms, balconies and location. Separate models were built for Pune dataset.
Key Features:
Form-based input interface with dropdowns
Uses Ridge or RandomForestRegressor for predictions
Outputs approximate price instantly on the same page
Trained model stored as a .pkl file
Deployed using Flask
