The Machine Learning Based Pollution Measurement System is developed to monitor and analyze environmental pollution levels. Sensors measure air quality parameters, and the collected data is processed using machine learning algorithms to identify patterns and predict pollution levels. The analyzed data is displayed on a monitoring platform for real-time observation. This project uses sensors, ML algorithms, data processing modules, and cloud platforms, making it suitable for environmental monitoring and smart city applications.
Department
Electronics and Communication Engineering
Type
major
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