This work aims to collect and analyze air quality information in and around regions of Delhi using an IoT system which is placed in a moving vehicle. Hourly air quality data has been used to forecast exceedance probabilities and return periods for air pollution extremes. The exceedance probabilities and return periods obtained using Extreme Value Distribution (EVD) have been compared to actual occurrences of extreme events.The results indicate that the EVD based air quality model is best suited for forecasting air quality in this high pollutant concentration region. © 2019 IEEE.