Published Paper Details:

According to this survey, dermatological conditions are among the world's most prevalent diseases. Therapy is universal, but it's also really challenging and takes a lot of subject knowledge. Bacteria, fungus, viruses, allergies, etc. are the main causes of most skin diseases. With the advancement of lasers and photonics-based medical technologies, skin diseases may be treated quickly and precisely. Yet, there are very few and very expensive medical equipment required for such a diagnosis. Deep learning techniques are advantageous in these situations. An important component of treating skin diseases is early diagnosis. Deep learning technique like Convolution Neural Network (CNN) may help to find the problem at an initial stage. Computer vision and Deep learning are dual stages which we used to identify diseases accurately. Theutilization of Deep Learning methods have decreased the requirement for human supervision on a regular basis. A Dataset of 5,633 images which are divided into 5 categories have been taken for Skin diseases classification. They comprise Acne, Eczema, Melanoma, Psoriasis and urticaria Hives. The model also provides the precautions needed to be taken and some recommended medicines for the skin disease. By utilizing CNN algorithm, 83% accuracy is achieved in classification of skin disease