Air pollution is one of the foremost hazards of environmental pollution. None of the living effects will survive while not having similar air. still, as a result of buses, agrarian conditioning, manufactories and diligence, mining conditioning, burning of fossil energies our air is carrying impure. This conditioning unfolds contaminant, gas, monoxide, particulate adulterants in our air that are dangerous for all living organisms. The air we tend to breathe each moment causes numerous health problems. thus, we want an honest system that predicts similar profanations and is useful in an advanced atmosphere. thus, then we tend to area unit prognosticating pollution for our city exploitation data processing fashion. In our model we tend to area unit exploitation data processing J48 decision tree formula and K means algorithm. Our system takes once and current information and applies them to our model to prognosticate pollution. This model reduces the complicatedness and improves the effectiveness and utility and might give fresh dependable and correct call for environmental city.

Keywords : component; Air pollution prediction, Data mining, city, J48 decision tree, Complexity, Effectiveness, Practicable.