Air Quality Index

The Air Quality Index (AQI) quantifies air pollution levels, aiming to inform public health and policy decisions by providing a readily understandable measure of air quality. Current research focuses on improving AQI prediction accuracy using machine learning techniques, including deep learning models like LSTM and Random Forest, often incorporating diverse data sources such as sensor readings, satellite imagery, and even smartphone-captured images. These advancements are crucial for mitigating the significant health risks associated with air pollution, enabling more effective interventions and informing strategies for cleaner air in urban and other settings.