Personalized medical assistance: An intelligent chatbot for skin disease diagnosis

Skin diseases are among the most common health concerns worldwide, yet timely diagnosis remains a challenge due to limited access to dermatologists and lack of awareness among the public. To address this issue, this project presents “Personalized Medical Assistance: An Intelligent Chatbot for Skin Disease Diagnosis,” an AI-based system designed to assist users in identifying potential skin disorders through natural conversation. The chatbot integrates machine learning and image-based analysis to classify various skin conditions such as eczema, psoriasis, acne, and fungal infections. It employs deep learning models for image recognition along with NLP-driven interaction to deliver accurate, user-friendly diagnostic suggestions. The system further provides preventive care tips and directs users to appropriate medical professionals when needed. Developed as a web-based interface, the chatbot ensures accessibility, real-time response, and personalized interaction, thereby bridging the gap between patients and dermatological care. This project demonstrates how Artificial Intelligence can enhance early skin disease detection, promote health awareness, and support digital healthcare transformation.