Predicting the prices of houses based on its size, no. of bedrooms, no. of bathrooms, and location. The model is trained on data from the Indian city of Bangalore. This project is divided into 3 parts: creating the prediction model, creating flask server, and creating the website that will take in the parameters of the house and show the estimated price.
