The increased pollution levels are leading to increasing in the number of people are suffering from skin diseases. More than 125 million people suffering from Psoriasis also skin cancer rate is rapidly increasing over the last few decades especially Melanoma is the most diversifying skin cancer. If skin diseases are not treated at an earlier stage, then it may lead to complications in the body including the spreading of the infection from one individual to the other. The skin diseases can be prevented by investigating the infected region at an early stage. The characteristic of the skin images is diversified so that it is challenging job to devise an efficient and robust algorithm for automatic detection of the skin disease and its severity. To overcome the above problem we are building a model which is used for the prevention and early detection of Acne, Melanoma, psoriasis, Rosacea, vitiligo. An application is built where a person can upload an image from UI, the image will be sent to the trained model. The model analyses the image and detects the skin disease that person had. Our system will use a Convolution neural network to train the images of skin diseases.