Air quality is a global issue whether from region to region, country to country or continent to continent. This global crisis occurs due to emissions from human activity, sunlight, weather, pollution from far away, wildfires, wind-blown dust etc,. All these factors may change from day to day or hour to hour and this toxic air shortens the life expectancy of the people. To address this issue various global efforts have been taken by many researchers for years. Among one such effort is air quality monitoring using hyper spectral remote sensing. Existing methods monitors’ air quality at micro scale level with limited analysis of particulate matter but we propose a novel method which uses an efficient algorithm to predict the air quality in a short span with accurate results.