AIRFACTOR- Bangalore Based Air Pollution Monitoring and Prediction Application Using Machine Learning

Due to the recent rise in the pollution levels in most metropolitan cities, we realized the lack of awareness and prevention measure taken by the general public to reduce it. If we are not aware of the pollution around us, we won't know what to do. On top of that Air is not visible to the naked eye, and it is no doubt that the tiny particles will also not be visible to the naked eye. Air is what keeps living things alive, a high level of pollution in that needs to be monitored and maintained. This suggests the urgent need of an asset that can predict the air pollution levels in the future as well as create awareness and cautions about the hazardous effects of air pollution. A Mobile Application called AIRFACTOR is developed as it is easily accessible to any user, which will help its users gain more knowledge about air pollution and air pollutants in general. Along with that it will also show the near real-time levels of pollution for the city of Bangalore, and also the Air Quality Index that changes over time. The paper aims to acknowledge that the pollutant PM2.5 is not the only pollutant that degrades the air quality, but other pollutants are also present, and thus predicts the levels of the pollutants PM 10 and CO.