Air Quality Forecasting using Neural Networks

This project uses deep learning techniques, particularly artificial neural networks (ANNs), to predict air quality levels. It processes large datasets with environmental variables such as air quality index (AQI), weather data, and location. The model is trained to forecast future air quality conditions, enabling more accurate predictions of pollution levels for urban planning.