Skin Disease Detection and Classification

Skin being the outermost integument of the human body has a significant role when it comes to protecting our body from sunlight, cold and other harmful germs and substances. Human skin type varies from person to person. The human skin type variety provides a diverse habitat for microorganisms and bacteria. Sometimes abnormalities of skin also cause noticeable signs of underlying disease. Hence it is highly necessary to detect and properly diagnose skin disease in the early stages to avoid spread of the disease. Our project involves image processing and classification of skin diseases using image data. These have been implemented with the help of two classifiers such as Convolutional Neural Networks and MobileNet in the domain of Deep Learning. Therefore, this project is an early warning tool which informs users about skindiseases that they are suffering from using a computer aided method.