Air Quality Forecasting for Urban Areas using Random Forests

This project applies Random Forests to predict air quality levels in urban areas. The model uses data on pollution levels, weather conditions, and traffic patterns to forecast air quality. The predictions can help authorities take preventive measures and provide timely health warnings to the public.