Abstract: In an era where digital solutions are increasingly integrated into healthcare, our web application remains at the forefront of innovation in dermatology. By seamlessly blending the convenience of an online platform with the expertise of doctors, we aim to bridge the gap between patients and dermatologists, especially in areas where access to specialized treatment may be limited. By integrating AI-powered chatbot technology, users can express their concerns in natural language and receive timely guidance and first-hand information on dermatological diseases. Additionally, the analysis of skin lesions in our system represents a major advancement in using machine learning for diagnosis. Using advanced algorithms learned from lots of medical dermatology data, our app shows clear patterns and symptoms to help identify various skin conditions. The analysis not only provides the user with valuable information but also provides dermatologists with important tools to help them make more informed decisions during the consultation.

Plus, our online appointment scheduling app simplifies the process of scheduling a consultation with a dermatologist. By integrating with the guide and the presence of the dermatologist, users can easily find the necessary appointments, shorten waiting times and receive timely treatment. This feature is especially important in dermatology, where early diagnosis and intervention will affect the treatment outcome.

In summary, our web application represents a strategic approach to dermatology care that uses technology to increase patient efficiency, accessibility, and outcomes. By providing users with intuitive tools to identify symptoms, image-based diagnoses, and schedule appointments, we envision a future where dermatology care is not only easier, but also more personalized and convenient.

Keywords: Chatbot, Skin deep learning, image classification, Skin disease, Appointment booking.

| DOI: 10.17148/IARJSET.2024.11466