The document discusses an IoT-enabled embedded air quality monitoring system aimed at addressing increasing pollution levels and associated health risks. It details the system's functionality, including real-time data monitoring via a web application, use of various sensors like the MQ2 for gas detection, and integration of machine learning for predictive analysis. The proposed system aims to provide accurate, accessible air quality data to users, significantly improving on existing monitoring approaches.
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