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.

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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
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article

Dermavision :Transforming Skincare, One Recommendation at a Time

Bhakthi Shetty
International Journal for Research in Applied Science and Engineering Technology
Medicine and Dermatology Studies History
article

Dermavision :Transforming Skincare, One Recommendation at a Time

Bhakthi Shetty
article en

Abstract

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.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Shreemati Nathibai Damodar Thackersey Women's University (IN)
Openalex Percentile: Top 80%
Medicine and Dermatology Studies History
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