A Smart IoT enabled Air Pollution Detector using Machine Learning

The regulation of air pollutant levels is rapidly increasing and it is one of the most important tasks for the governments of developing countries, especially India. It is important that people know what the level of pollution in their surroundings is and take a step towards fighting against it. The meteorological and traffic factors, burning of fossil fuels, industrial parameters such as power plant emissions play significant roles in air pollution. Among all the particulate matter (PM) that determines the quality of the air. When its level is high in the air, it causes serious issues on people’s health. Hence, controlling it by constantly keeping a check on its level in the air is important. This can be found by using the machine learning algorithms are XG Boost, CAT Boost, LGBM, Random Forest, Logistic Regression.

Keywords: Machine Learning algorithms,  Air pollution, LGBM, CAT Boost.