Immo Belgium App

Description

The Immo Belgium App is a real estate prediction tool designed to analyze property data and provide insights into the Belgian real estate market. Using advanced machine learning models and interactive visualizations, it predicts property prices and offers users valuable tools for informed decision-making in the real estate domain.

Key Highlights:

• Predictive Analytics: Get accurate property price predictions based on market trends.
• Data Visualization: Interactive charts and graphs for deeper insights into market behavior.
• Deployed on Streamlit: Seamless and responsive web application experience.

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Installation

1. Clone the repository:

   git clone https://github.com/Dadelidodu/immo_belgium_app.git

2. Navigate to the project directory:

   cd immo_belgium_app

3. Install the dependencies:

   pip install -r requirements.txt

Usage

1. Run the app locally:

   streamlit run main.py

2. Open the displayed URL in your browser.
3. Explore real estate trends and predict property prices interactively.

Online Access

The app is deployed on Streamlit and can be accessed directly here: https://immobelgium.streamlit.app/

Visuals

Example Interface

Sample Prediction Output

Contributors

David: End to end contribution to the project We welcome contributions! Feel free to open issues or submit pull requests to help improve this app.

Timeline

November 2024 : Official launch December 2024: Deployment of the app

Personal Situation

This project was inspired by a need to understand real estate trends in Belgium and provide accessible tools for market analysis. Whether you're a first-time buyer, a seasoned investor, or just curious about the market, this app offers something for everyone.

Project Structure

```bash
.
├── .devcontainer/          # Development container configuration
├── .streamlit/             # Streamlit app configuration
├── Scripts/                # Utility scripts
├── data/                   # Dataset files
├── main.py                 # Main application entry point
├── requirements.txt        # Python dependencies
└── README.md               # Project documentation
```

Data

The app relies on real estate data stored in the data/ directory. Ensure that the data files are properly formatted and placed in this directory before running the app.

License

This project is open-source and available under the MIT License.

Contact

For questions or feedback, contact the project maintainer via the repository issues page.