This project applies deep learning techniques to monitor and predict air pollution levels. The system collects real-time data from environmental sensors and uses deep neural networks to forecast pollution levels in the coming hours. The project provides real-time alerts for areas with high pollution levels, improving response time for environmental health concerns.
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