• Apoorva V Kumar
• Nivetha K
• Anupam R
• Ananyashree H B
• Krishna Gudi

: In the recent situation, managing air pollution is one of the driving challenges. Mostly frequently the educational organizations in creating countries suffer from contaminated environment due to inadequate plan and poor framework. The pupil in the class and lecturers or teacher in school or colleges could suffer from wellbeing issues due to drawn out of introduction to such environment. In this project, we will be building a prototype which will be detecting pollution causing gases like CO, CH4, LPG, CO2, and smoke along with biological parameters such as temperature and humidity. Along with IOT sensors we will be using Machine Learning Algorithm to train the data observed from the IOT sensors.

Index Terms – Air Pollution, Sensors, Algorithm, Biological Parameters.

"Indoor Air Quality Monitoring System using Machine Learning Technique with IOT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.398-399, June 2019, Available :http://www.jetir.org/papers/JETIR1907V63.pdf

"Indoor Air Quality Monitoring System using Machine Learning Technique with IOT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp398-399, June 2019, Available at : http://www.jetir.org/papers/JETIR1907V63.pdf