Air pollution monitoring and prediction using IoT

The internet of Things (IoT) is a course of action interrelated computing devices, mechanical and advanced machines, objects, or people that are given unique identifiers and the capability of exchange information over a system without anticipating that human to human or human to machine communication. In this work an IoT based air pollution monitoring and prediction system is proposed. This system can be utilized for monitoring air pollutants of a particular area and to air quality analysis as well as forecasting the air quality. The proposed system will focus on the monitoring of air pollutants focus with the combination of IoT with a machine learning algorithm called Recurrent Neural Network more specifically Long Short Term Memory (LSTM).