AI DERMATOLOGY ASSISTANT
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- Create Date 11 June 2025
- Last Updated 11 June 2025
AI DERMATOLOGY ASSISTANT
Authors:
Mrs.P.Logaiyan 1, Gurudevan V 2
1Associate Professor, Department of Computer Applications, Sri Manakula Vinayagar Engineering College , Puducherry 605008, India,
2Post Graduate student, Department of Computer Applications, Sri Manakula Vinayagar Engineering College, Puducherry 605008, India,
ABSTRACT:
Skin ailments are among the most prevalent health issues globally, yet it is challenging to obtain timely and correct facts regarding them, and hence the void is attempted to be bridged by the AI Dermatologist Assistant with an online, user-friendly application that can assist users in detecting common skin ailments with the aid of artificial intelligence.
Patients simply post a picture of the affected skin area, and the computer program powered by a deep learning algorithm trained on a large database’s analyzing the picture automatically to offer a possible diagnosis. Useful information about the condition, such as symptoms, treatment, and when to consult a dermatologist, is also provided to patients. The aim is to offer more access to skin health care, especially for those who cannot get medical treatment immediately.
The backend is developed in Python using Django and the AI-powered image classification using PyTorch. The data is securely processed via a MySQL database. The application also includes a chatbot integrated into the system with natural language processing, via which users are able to query general skin disease and skin care-related problems, adding to the experience via interactivity and information.
This project showcases the optimal application of AI in medicine to offer quick, affordable, and accessible solutions. By bridging technology and medical expertise, the AI Dermatologist Assistant offers greater awareness, early diagnosis, and greater access to skin health information.
Keywords: AI Dermatologist, Skin Disease Detection, Deep Learning, Image Classification, PyTorch, Django, MySQL, Natural Language Processing (NLP), Chatbot, Web App, User Dashboard, Medical AI, Health Tech, Skin Health, Real-time Diagnosis, Smart Healthcare, AI in Medicine, Accessible Healthcare, Computer Vision.
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