Skin diseases are one of the common health problems that can be diagnosed by examining the physical structure of diseases and history. At present, diagnosis of skin disease is done by invasive techniques like clinical examination and histopathology. The tests are very efficient and helpful. But these methods require subject experts, more time, and have less data reproducibility. Since diagnosis needs an expert, making it reachable to all places is difficult. So this research came up with a solution using a clinical feature-based diagnosis tool to diagnose certain skin diseases. The tool was developed with the help of image processing and deep learning algorithms.