Air-Quality-Prediction-ML

This project aims to build a robust Machine Learning pipeline that predicts the air quality category (Good, Moderate, Poor, Hazardous) based on environmental factors and gas pollutant levels.

By analyzing various pollutants and demographic data, we trained and compared multiple ensemble models to find the most accurate predictor for air quality.