Air Pollution can have numerous unfavorable impacts on the skin. In thickly populated regions, skin infections are more normal. These infections can effectively affect lives and make an extraordinary requirement for determination. This proposition centers around precise analysis utilizing picture handling. This strategy intends to identify skin infections by looking at the information picture. This includes separating the info picture to eliminate clamor and changing it over to grayscale. At last, picture division is performed. To diminish the information that should be prepared by the classifier, highlight extraction is utilized. To recognize skin illnesses, the SVM (Support Vector Machine), is utilized for picture grouping. Innovation has made it simpler to analyze and treat sickness rapidly. The proposed technique can recognize skin conditions, for example, rosacea and melanoma with a high precision speed of 89%