islamabdaljawad/Egypt-House-Price-Prediction

# 🏡 Egypt House Price Prediction An interactive Streamlit application that forecasts residential property prices in Egypt using machine learning. Users can input specific property features and receive a real-time price prediction based on a trained model. > Built with 💡 by Islam Abd Aljawad , Mohamed Adel , Rana Ashraf , Ahmed Abdelbaset , Habiba Ayman --- 🚀Milestones ## 📑 Table of Contents - Project Overview - Project Goals - Technologies Used - Repository Structure - Data Overview - Data Preprocessing Details - Model Training - Streamlit Web Application - Dashboard Visualizations - How to Run the Project Locally - Deployment Recommendations - Future Enhancements - Contributors - License - Contact --- ## Project Overview The **Egypt House Price Prediction** project provides a machine learning-based solution to predict residential real estate prices in Egypt. It is designed to help buyers, sellers, real estate agents, and financial institutions assess property values based on historical data trends. The system is fully automated — starting from raw data preprocessing, model training and evaluation, experiment tracking, to an easy-to-use **Streamlit** web application for end-users. --- ## Project Goals - Develop a **robust prediction model** for estimating house prices based on multiple features. - Build a **modularized and scalable codebase** for future extension (e.g., adding more features, bigger datasets). - Create a **user-friendly interface** for non-technical users using **Streamlit**. - Enable **experiment management and model tracking** through **MLflow**. --- ## Technologies Used | Category | Tools | |---------------------|--------------------------------| | Programming Language| Python 3.9+ | | Web App | Streamlit | | Machine Learning | Scikit-learn, XGBoost | | Data Processing | Pandas, NumPy | | Visualization | …