AeroSense Analytics is a machine learning–powered air quality prediction and classification system designed to assess environmental conditions with high accuracy. The project uses advanced data preprocessing, feature engineering, and multiple supervised learning algorithms to predict and classify air quality into “Good” or “Poor” categories.