Intelligent systems based on IoT platform, Raspberry Pi with developed machine learning model to predict the values of various pollutants in the air using the data with three parameters: air temperature, humidity, and pressure are proposed in this paper. The experiments are conducted for different scenarios with respect to verification and validation of the proposed machine learning model for air quality monitoring and assessment.