Skin disorders are one of the most common types of disorders that are primarily diagnosed visually with scientific screening observed through dermoscopic evaluation, histopathological evaluation, and a biopsy. Diagnostic accuracy has a strong relevance to physician skill. Painful effects of skin disease hamper the mental condition of a patient. The authors propose an approach to detect the skin diseases based upon image processing as well as machine learning techniques i.e., convolutional neural networks (CNN). CNN is a specific type of neural network model that allows us to extract higher depictions for the image content. It is a deep learning algorithm to perform generative and descriptive tasks. Machine learning generates two types of prediction-batches and real time.