DermDetectNet: Identifying Skin Diseases with Advanced Computer Learning

Skin problems are a difficult issue in medicine because there are many different types and they can look very different from each other. This study is trying to solve this problem by creating a smart system that can automatically recognize and handle skin issues using special computer programs called machine learning algorithms. The main aim of this project is to build a strong system that can correctly identify skin conditions from pictures of the skin. To do this, we gather a large collection of skin images showing many different skin problems to cover all types of skin conditions. We then use advanced methods to analyze and sort these images, helping to tell one skin problem from another based on how they look. The system's performance and trustworthiness are carefully checked and confirmed using various tests and real-life situations. These evaluations show that the suggested system could be a useful tool for diagnosing and planning treatments for skin conditions. It gives medical professionals a quick and precise way to tackle the complex issues related to skin diseases.