With an increasing air pollution, we developed an Advanced Air Quality Monitoring System using Raspberry Pi 3B+. The system involves monitoring the air quality by considering parameters like Suspended particulate matter(SPM), Carbon dioxide, Ozone, Carbon monoxide, Smoke, temperature and humidity. Particulate matter being a very important parameter gives a clear indication of pollution in that particular time in the area. These pollutant data are extracted using sensors like MQ7, MQ135, MQ9, DSM501A, DHT11, etc. Most of these sensors produce analog output so an Analog to Digital converter is required before supplying the data to the Raspberry pi 3B+ microcontroller. Using software and coding of the Raspberry Pi 3B+, the data are analyzed and a graph to show the changes in the locality and time in which the experiment is plotted. The results obtained were verified. The experiment is conducted in a locality at Rajarhat, New Town, Kolkata and the results were compared with that from a local environment control authority. This system would help to take real-time decisions and very effective in today's situation of high air pollution in most of the Indian cities.
