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Stream/Area:
-
Subject:
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Paper ID:
10.55041/IJSREM48930
Volume:
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Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Individuals often have trouble finding skincare products that work for their particular skin type, which results in trial and error and a waste of time and resources. Making decisions about skincare is made more difficult by the wide range of alternatives available, which frequently leads to disappointing results. Understanding suitable ingredients might make skin issues worse. With the use of advanced CNN algorithms, particularly the YOLO algorithm, our system analyzes users’ skin conditions through image analysis and provides customized cosmetic product recommendations based on each user’s goals, preferences, and profile. This strategy aims to enable users to effectively accomplish their skincare objectives. The system also makes it easier to schedule dermatological consultations, improving access to expert skincare advice and care.
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Publication Date
5/28/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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