Ahmed-Saeed-Abdullah-Alshanwany/Real-Estate-Predictor

A Full-Stack Machine Learning Web App to predict real estate prices in Egypt. # 🏠 Smart Real Estate Price Predictor A Full-Stack Machine Learning Web Application built with Python, Scikit-Learn, and Streamlit. This app predicts real estate prices in Egypt based on user inputs such as area, number of bedrooms, location, and finishing type. ## 📸 App Preview ## ✨ Features - **Machine Learning Model:** Utilizes a trained `RandomForestRegressor` for accurate price estimation. - **Interactive UI:** Built with `Streamlit` to provide a seamless and user-friendly web interface. - **Real-Time Predictions:** Instant price calculation based on the provided apartment features. ## 🛠️ Technologies Used - **Python 3.x** - `pandas` & `numpy` (Data manipulation) - `scikit-learn` (Model training and preprocessing) - `joblib` (Model saving/loading) - `streamlit` (Web Application framework) ## 🚀 How to Run 1. **Clone the repository:** ```bash git clone github.com cd Real-Estate-Predictor 2. **Install the required dependencies:** ```bash pip install pandas scikit-learn streamlit joblib ``` 3. **Run the application:** ```bash streamlit run app.py ```