Air Quality Prediction with Artificial Neural Networks

This project uses Artificial Neural Networks (ANNs) to predict air quality based on various input factors like temperature, humidity, and pollution levels. The system aims to forecast air quality with high accuracy, helping city authorities plan for air pollution management and improve public health outcomes.