AIR QUALITY MONITORING SYSTEM USING ML

The Air Quality Monitoring System using Machine Learning is developed to monitor and analyze environmental pollution levels. Air quality sensors measure parameters such as harmful gas concentration and particulate matter, and the data is processed using a Single Board Computer (SBC). Machine learning algorithms analyze the collected data to predict air quality levels and trends. The real-time and predicted data is displayed on a cloud-based monitoring platform. This project uses sensors, an SBC, machine learning algorithms, cloud platforms, and IoT communication, making it suitable for environmental monitoring and smart city applications.