🏡 BharatHomes - Real Estate Price Predictor 🇮🇳

BharatHomes is an intelligent real estate web platform for analyzing, predicting, and recommending properties in Gurgaon using Machine Learning and visual analytics.

Built with:

• 🧠 ML & Data Science (Scikit-Learn, Pandas, Numpy)
• 🎯 ML Features: Price Prediction, Apartment Recommendation, Insights & Analytics
• 🌐 Web Apps: Streamlit & Django
• 📊 Visualizations: Plotly, Seaborn, Matplotlib

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📁 Project Structure

bharathomes/
├── Real-Estate-App/
│   ├── pipeline.pkl              # Trained ML Pipeline
│   ├── df.pkl                    # Final Processed Data
├── Notebooks/
│   ├── All EDA & ML Notebooks
├── bharathomes/                 # Django project root
│   ├── core/                    # Main logic and views
│   ├── predictor/               # Price Prediction App
│   ├── recommender/            # Apartment Recommender
│   ├── insights/               # Market Insights Module
│   ├── analytics/              # Visual Analysis Module
├── streamlit\_app/              # Streamlit app (Optional UI)
├── templates/                  # HTML Templates
├── static/                     # Static assets (CSS, JS)
├── manage.py
├── requirements.txt
└── README.md

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🚀 How to Run the Project

🖥️ 1. Clone the Repository

git clone https://github.com/your-username/BharatHomes.git
cd BharatHomes

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🧪 2. Create and Activate Virtual Environment

# Create venv
python -m venv .venv

# Activate (Windows)
.venv\Scripts\activate

# Activate (Linux/Mac)
source .venv/bin/activate

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📦 3. Install Dependencies

pip install -r requirements.txt

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🔷 Option 1: Run Streamlit App

cd streamlit_app
streamlit run Home.py

🧭 Features Available in Streamlit

• 📌 Price Predictor
• 📈 Analytics App (GeoMap, ScatterPlot, BoxPlot, etc.)
• 🧠 Recommender System
• 🔍 Insight Module (Regression-based inference)

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🔷 Option 2: Run Django Web App

cd bharathomes
python manage.py makemigrations
python manage.py migrate
python manage.py runserver

🔗 Visit

http://127.0.0.1:8000/

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💡 Tech Stack

Stack	Tech Used
Backend	Django, Python
ML/AI	Scikit-Learn, Pandas, Numpy
Visualization	Matplotlib, Seaborn, Plotly
Web Frontend	HTML, CSS (via Django templates)
Deployment	Streamlit / Django RunServer

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🤝 Contributing

We welcome contributions from the community! 🧡 Please follow the below steps:

1. Fork the repository.
2. Create a new branch: git checkout -b feature-name
3. Make changes and commit: git commit -m "Your message"
4. Push to your branch: git push origin feature-name
5. Open a Pull Request ✅

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📄 License

This project is licensed under the MIT License.

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✨ Author

Built with ❤️ by Mayur Patil Feel free to reach out or star the repo ⭐ if you found it useful!

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