Published Paper Details:

In addition to being dangerous, skin conditions including melanoma, eczema, and impetigo are frequently communicable, so early and precise diagnosis is essential for successful treatment. However, diagnosis usually calls for specialized understanding of dermatology, and even experts sometimes misclassify disorders, which can result in improper therapy. Our project suggests a deep learning and image processing-based skin disease detection system that uses a Convolutional Neural Network (CNN) model for precise classification in order to overcome this difficulty. This system, which is a personal computer-based program, can be implemented in places with limited resources or in remote locations, improving access to first diagnostic assistance. The system evaluates and categorizes the condition by examining a user-provided photograph of the affected skin area, providing pertinent medical information along with the projected disease.