Abstract: Over last few decades’ pollution in the air have been increasing promptly over the globe, due to growing urbanization and industrialization. The degrading air quality effects the climate condition and hence severe health issues related to lung and respiratory system. Hence, monitoring the quality of air becomes crucial in keeping the atmosphere and global ecosystem clean. However, the existing methods such as Probability and Statistics are more complex method to detect the air quality. In order to overcome from the above issues this paper proposes a system to monitor the air pollution using Machine Learning. A new Dataset is created to by measuring different pollutants in air arund Nagarbhavi area in Bengaluru, Karnataka, India using sensors. To validate the method the actual value is compared with predicted value.
Keywords: Air Quality, Prediction, Machine Learning, classification, dataset
Cite:
Sridevi N, PrasannaKumar M, "Machine Learning Based Air pollution Predictor", IJIREEICE International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering, vol. 12, no. 4, 2024, Crossref https://doi.org/: 10.17148/IJIREEICE.2024.12405.
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