This project is a user-friendly web application that predicts house prices in Bengaluru based on various features. It offers real estate professionals and buyers a data-driven approach to understanding property values in a competitive market.

Key Features:

• Accurate Price Predictions: Utilizes Ridge Regression to provide reliable price estimates.

• Dynamic Visualizations: Interactive charts and graphs for a better understanding of real estate trends.

• User-Centric Interface: A clean and responsive UI for effortless data input and result viewing.

• Customizable Inputs: Supports features like location, area, number of bedrooms, and amenities.

• Scalable Design: Built to handle large datasets and complex user queries.

Technologies Used:

• Streamlit: For building an interactive and visually appealing web app.

• Ridge Regression: Ensures precise modeling of relationships between features.

• CSS: Enhances the look and feel of the application.

• Python Libraries: Includes Pandas, NumPy, and Matplotlib for data processing and visualization.

This tool is invaluable for real estate agents, investors, and buyers looking to make informed decisions.