This project uses machine learning algorithms to predict the Air Quality Index (AQI) in India based on historical data.
The project aims to provide a predictive model that can help policymakers and environmental agencies make informed decisions.
The dataset used in this project is a CSV file containing historical air quality data from various locations in India.
- Python 3.8+
- Pandas
- NumPy
- Scikit-learn
- Matplotlib
- Seaborn
- Clone the repository:
git clone https://github.com/your-username/air-quality-index-prediction.git - Install the required libraries:
pip install -r requirements.txt - Run the script:
python main.py
Contributions are welcome! If you'd like to contribute to this project, please fork the repository and submit a pull request.
This project is licensed under the MIT License. See the LICENSE file for details.
