IoT Based Air Quality Prediction using SVM and Random Forest

Abstract

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 time by a 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 the health of the population exposed to it. Air quality goes down when enough amount of harmful gases are present in the air like carbon dioxide, smoke, alcohol, benzene, NH3, and NO2. To analyses, we are developing an IoT Based pollution Monitoring System which we'll monitor the Air Quality over an internet server. Existing monitoring systems have inferior precision, low sensitivity, and need laboratory analysis. Therefore, improved monitoring systems are needed.