Design of Interactive Portal for Skin Disease Detection and Live Counseling

Abstract

Skin conditions are among the most challenging to diagnose quickly, easily, and accurately due to their high complexity and high cost of care, as well as the difficulties and subjectivity associated with human interpretation. This is especially true in developing and underdeveloped nations with limited healthcare resources. Additionally, it is well known that the likelihood of serious outcomes is decreased in many disease instances by early identification. These skin conditions have just recently become more prevalent due to current environmental influences. Early detection of our key conditions–-eczema, dermatitis, melanoma, and psoriasis–-can eliminate a person’s risk of death. The development of medical technology based on photonics and lasers has made it possible to identify skin illnesses considerably more rapidly and precisely. However, the expense of such a diagnosis is still burdensome and high. Our study helps create a model that uses CNN to categorize skin conditions and offers a platform for consultation with a dermatologist for accurate disease diagnosis. In order to identify skin diseases, we suggested an easy to use, effective and inexpensive approach based on image processing which doesn’t necessitate any equipment’s beyond a webcam and a computer. This method takes digital photo of the diseased skin area and uses image analysis to identify the type of skin disease.