Nowadays Air Quality (AQ) in the cities become a major challenge and its continuous monitoring is required as it has direct impact on the public health. For monitoring the air quality, wireless sensor networks (WSNs) are used to collect benchmark dataset which is the city_day dataset. It captures the air quality data and Air Quality Index (AQI) of different stations through various cities in India from 2015–2020. In this paper, we have developed decision tree based model for predicting the AQI of urban area using benchmark data set. The findings of this study shows that the proposed model perform well in terms of accuracy, precision, training time, prediction speed and model size in comparison to other contemporary models.