House Price Prediction Machine Learning Real-time Analytics Open Source

This project is a web application that predicts house prices using a machine learning model. It's built with Python, Scikit-learn, and Streamlit, and it provides real-time price predictions. The application includes an interactive web interface where users can analyze property data and get instant predictions. The machine learning model is trained on a sample dataset, achieving high accuracy. The project showcases the implementation of a predictive analytics solution and provides a user-friendly web interface for real-time house price prediction.