Intelligent System for Air Quality Monitoring Assessment using the Raspberry Pi Platform

Abstract

In this paper, an intelligent system that uses the Raspberry Pi platform and the machine learning model to predict the values of various pollutants in the air, based on temperature, humidity, and pressure is proposed. Two sensors for measuring temperature, humidity, and barometric pressure are used by the system to collect data for the machine learning model. Two user interfaces are developed to help users in interacting with the model, and to monitor the predicted values. Finally, the results of the proposed air quality system are presented and analyzed and the future work has been outlined.