PureAirProject

Ensuring the availability of clean and pure air has become a critical determinant in safeguarding the health and well-being of communities, as well as preserving the delicate balance of the ecosystem. In this pursuit, the integration of machine learning-based prediction technologies has showcased its transformative potential, proving to be an invaluable asset in comprehensively examining and predicting the Air Quality Index (AQI) with a high degree of accuracy and efficiency. The deployment of machine learning algorithms in predicting the AQI offers a dynamic approach to discern intricate patterns within air quality data, facilitating a comprehensive understanding of the complex dynamics of air pollution.