Categorization of Integumentary System Disorders using Deep Learning

People in today's world are busy and occupied all of the time. Individuals often overlook minor illnesses in our bodies as a result of our fast-paced lives. Skin disease is one of them. It is the most widespread disease on the planet. People generally consider dermatology problems as ephemeral, though that's not always the case. If the skin disease is not appropriately recognized, it might cause serious complications. The project's current models use segmentation techniques such as edge detection; however, our study seeks to diagnose skin disorders with high accuracy rates utilizing Deep learning. Our goal is to use CNN (convolutional neural networks) and transfer learning from the Inception model to identify and categorize skin disorders. This research seeks to inform victims of the potential repercussions and assist doctors in making an initial diagnosis. This is being implemented in both a web application and an Android application.