Skin infections are widely considered more prevalent than different sicknesses. The main reasons for skin diseases can be a fungal infection, bacteria, viruses, shingles, hives, allergy, etc. There are various medical technologies available for example laser therapy, and advancement in photonics, etc. for the detection of different skin diseases which provide results in no time and are very accurate. The real problem arises that these medical technologies are quite limited and expensive, everybody cannot afford these types of diagnosis. Because of the expenses of dermatologists to screen each patient, there is a requirement for an electronic framework to assess a patient's danger of skin infection utilizing pictures of their skin sores caught utilizing a standard advanced camera. In our proposed work, VGG16, which is utilized as a component extractor, assumes an exceptionally pivotal part in assisting with ordering skin sicknesses. We have proposed a picture preparing based strategy to distinguish skin sicknesses. This technique takes a picture of the influenced skin infection territory as info, at that point, it will separate the key highlights utilizing channels and removed highlights are then contrasted and the prepared model(contains datasets of test pictures) to distinguish the kind of skin sickness. Our Proposed work is basic, fast, and doesn't need any kind of expensive gear.

Keywords : Image Processing, VGG-16, Skin diseases, Feature Extraction