• Susmitha M N
• Cherukuru Sivani
• Divya Shree S
• Bhavani R
• Harshitha G J

Internet of Things (IoT) may be a worldwide system of “smart devices” which will sense and connect with their surroundings and interact with users and other systems. Global air pollution is one of the major concerns of our era. The level of pollution has increased with times by lot of things like the increase in population, increased vehicle use, industrialization and urbanization which ends up in harmful effects on human wellbeing by directly affecting health of population exposed to it. Air quality goes down when enough number of harmful gases present in the air like carbon dioxide, smoke, alcohol, benzene, NH3, and NO2. An IoT based Air pollution monitoring system includes a MQ Series sensor interfaced to a Node MCU equipped with a ESP8266 WLAN adaptor to send the sensor reading to a Thing Speak cloud. Further scope of this work includes a suitable machine learning model to predict the air pollution level and a forecasting model, which is basically a subset of predictive modelling. We will be using out IoT device as a prototype to collect the data, and for expanding our model we used an authorized open-source dataset provided by US Govt. The paper is mainly to monitor, visualize the pollution data and its forecasting.

IoT, Smart Device, Pollution, Monitoring.

" AIR POLLUTION MONITORING SYSTEM USING IOT AND DATA ANALYTICS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.a34-a39, May-2023, Available :http://www.jetir.org/papers/JETIR2305005.pdf

" AIR POLLUTION MONITORING SYSTEM USING IOT AND DATA ANALYTICS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppa34-a39, May-2023, Available at : http://www.jetir.org/papers/JETIR2305005.pdf