🏡 House Price Prediction Dashboard

This project is an end-to-end Data Science application that predicts real estate market prices based on property features (e.g., location, rooms, square footage) using Machine Learning algorithms, and serves the model via a dynamic Streamlit web application.

💡 Overview

• Problem: Uncertainty and extreme variance in real estate pricing.
• Solution: Feature-based price prediction using Machine Learning models.
• Business Value: Helps buyers, sellers, and real estate agents determine the optimum market value instantly, ensuring fair pricing and quick market insights.

📊 Live Demo

👉 Test the Live Application Here

🛠 Tech Stack

• Data Processing & Analysis: Pandas, NumPy
• Machine Learning: Scikit-Learn
• Deployment: Streamlit Cloud