Dermavision :Transforming Skincare, One Recommendation at a Time
Abstract: DermavisionisanAI-drivenskincarerecommenda- tion system that integrates deep learning, computer vision, and augmentedreality(AR)toprovidepreciseandreal-timeskincare solutions. Traditional skincare recommendation systems often rely on sentiment analysis, quizzes, or static image processing, leading to subjective and less accurate results. Dermavision enhancespersonalizationthroughmachinelearningmodels,clus- tering in YCbCr and HSV color spaces for accurate skin classification, and AI-driven allergy detection. The system incorporates a virtual ARbased skincare application, an AI chatbot for realtime skincare guidance, and a community-driven platform for userengagement.Thispaperdetailsthemethodology,implementation, and technological advancements that make Dermavisiona leading innovation in AI-based skincare recommendations. Unlike existing systems that rely on sentiment analysis or static image evaluations, Dermavision leverages deep learning-based skin classification, real-time AI-driven allergy detection, and AR visualization for scientifically backed recommendations.
Authors
- Bhakthi Shetty
Institutions
- Shreemati Nathibai Damodar Thackersey Women's University (IN)
Publication Details
- Journal
- International Journal for Research in Applied Science and Engineering Technology
- Published
- 2025-05-16
- DOI
- https://doi.org/10.22214/ijraset.2025.70322
- Primary Topic
- Medicine and Dermatology Studies History
- Type
- article
- Field-Weighted Citation Impact
- 0.00