Aur quality prediction using deep learning

Air Quality Prediction Using Deep Learning is a machine learning-based project that analyzes air pollution images and classifies air quality into six categories: Good, Moderate, Unhealthy for Sensitive Groups, Unhealthy, Very Unhealthy, and Severe. It uses deep learning and CNN-based models with transfer learning to predict air pollution levels and provides an easy-to-use web interface for displaying prediction results.