Machine Learning-Based IOT Air Quality and Pollution Detection

In India, gas leakage from the different factories harmful to human surveying in last fifty years is very low. However, there a lack of prior detection chemical gases system situation raised. So, this regard, gap identification intensity needed. work, main objective identify and maintain stream data database locations. To fill gap, that identifying high-intensity disaster areas. The first step needs natural compositions. regard work for design internet-based air system. sensors MQ2(Ethanol i-Butane Methane Alcohol Gas Sensor Sensor), MQ3(Sensitivity Detector), MQ4 (Methane Natural (CNG)), MQ-5 ( LPG GAS SENSOR), MQ-7 (CO Module Test Carbon Monoxide MQ-8 (hydrogen MQ-9 (carbon monoxide), MQ-135 Sensor(Air Quality Hazardous Detector) DHT11 Digital Temperature Humidity Sensors. These are interfacing with micro-control STM 32 board. It also called one Pollution terminal by using it pull sensor location centralized data. This transportation service For Data pulling, an algorithm store into cloud database. research electronic wifi circuit IoT technologies.Moreover, getting these attributes as need apply preprocessing techniques extracted feature also. paper discusses mainly designing pollution , cleaning data, applying Machine Learning based Feature extraction techniques.