Air Pollution Classification using ML and IoT

Computer Engineering

Air pollution can be a threat to the human environment. It becomes a global issue in the world for every country. Air pollution is caused by many factors and becomes dangerous if the concentration level exceeds the normal levels. Several gasses including PM10, SO2, CO, O3, and NO2 can be hazard pollution. These gasses concentration can be sensed by IoT sensors. When the concentration is exceeds the threshold, it become unhealthy condition for human life. Adverse effects of air pollution include mild allergic reactions such as irritation of the throat, eyes and nose as well as some serious problems like bronchitis, heart diseases, pneumonia, lung and aggravated asthma on human health. Further the air pollutants mix up with the water vapour in the air causing acid rain. There is a requirement of a proper system to keep a check on air pollution. An IOT based air pollution monitoring system is proposed that uses MQ 135 gas sensors interfaced to node MCU; the system is connected through ESP8266 Wi-Fi module to the think speak cloud to analyze the sensor data. This proposed model can be utilized in a number of ways; the main idea involves the system to be installed in every vehicle so that emission of every vehicle remains under set level. IOT based framework can be the best solution to fight back problems such as global warming.

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