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Predictive Analysis Of Air Pollution Monitoring System Using Machine Learning

Author: 
Akilandeswari, A Thenmozhi, S and Jessilin Percis, T
Subject Area: 
Physical Sciences and Engineering
Abstract: 

In recent years, air pollution has acquired critical dimensions and the air quality in most Indian cities that monitor outdoor air pollution fail to meet WHO detect the air pollution by using sensor and here we use AVR controller and sensors which will monitor the air pollution. As well as we will also be able to monitor the data wirelessly with the help of a web a greenhouse like carbon dioxide, methane, nitrous oxide is also known as air pollution. We can purify the above statement by considering man this consideration has an adverse effect too. A report will be generated by web application for early prediction. Whenever any abnormal level of air pollution is determined then an automatic message will be sent to the person t store the data in cloud. Using machine learning technology, we can predict the air pollution at an earlier stage, the algorithm used in this project is linear regression. Thus, this pr prediction of the air pollution effectively. guidelines for safe levels. In this project we pplication developed using Node JS. Enhancement in global concentrations of gasses of -made emissions of hazardous ch o take immediate actions. With the help of Wi emicals as air pollution but -Fi Module we can able to oject helps to early

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