AI-Based Skin Disease Detection System

Skin diseases, also known as dermatological conditions or dermatoses, refer to a broad range of illnesses that affect the skin.The Global Burden of Disease Project reports that Skin diseases are still the fourth primary cause of death worldwide.Skin diseases can manifest in various forms, including rashes, lesions, discoloration, itching, and swelling.These symptoms are many a time related to more serious diseases, including HIV and neglected tropical diseases (NTDs).Skin diseases can happen because of many different factors, such as genetics, infections, problems with the immune system, allergies, and environmental conditions.In recent years, Artificial Intelligence (AI) and Machine Learning (ML) have become useful in healthcare, especially for detecting and classifying skin diseases from images.This research focuses on developing an AI-powered dermatology diagnosis system that can identify and classify different types of skin diseases.Different image-processing techniques, such as preprocessing, segmentation, contrast enhancement, normalization, and data augmentation, can be used to improve the quality of images and the performance of the model.An AI-based system can also be connected with an interactive chatbot to provide simple information and guidance to patients using a diverse dataset of skin images encompassing a wide range of dermatological conditions.In summary, this research donates to the expanding body of knowledge on Al applications in healthcare, specifically in dermatology.The developed Al-powered system exhibits significant promise in revolutionizing the field by providing timely and accurate diagnoses, thereby enhancing patient care and streamlining the workflow for healthcare professionals.