Gurgaon Real Estate Insights 🏡

An AI-powered real estate analytics web app focused on Gurgaon's property market. Built with Machine Learning, Data Visualization, and Streamlit.

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Features

• Market Analysis — Explore locality-wise trends, visualize property data, and identify the best investment zones in Gurgaon
• Price Predictor — Enter property details and get an AI-based price estimate instantly
• Apartment Recommender — Get personalized apartment suggestions based on budget, safety, and amenities

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Tech Stack

• Frontend/UI: Streamlit
• Language: Python
• ML & Data: scikit-learn, pandas, numpy
• Visualization: matplotlib / seaborn / plotly
• Notebooks: Jupyter

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Project Structure

Captone_project/

├── data/ # Raw and processed property datasets

├── model/ # Trained ML models

├── notebooks/ # EDA and model training notebooks

├── pages/ # Streamlit multi-page modules

│ ├── market_analysis.py

│ ├── price_predictor.py

│ └── recommendations.py

├── home.py # App entry point

└── .gitignore

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Installation

git clone https://github.com/Abhinandan2006/Captone_project.git
cd Captone_project
pip install -r requirements.txt

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Usage

streamlit run home.py

Then open http://localhost:8501 in your browser and use the sidebar to navigate between modules.

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Dataset

Property data sourced from real listings in Gurgaon, India. Raw data is in the data/ folder and preprocessing steps are documented in the notebooks.

License

This project is for learning and educational purposes.