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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM48930

SKINTELLECT: AI-POWERED PERSONALIZED SKINCARE SOLUTIONS FOR HEALTHIER SKIN

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Paper ID:

10.55041/IJSREM48930

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Monthly (12 issues per year)

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10.55041/IJSREM48930

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.

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Authors

MVK

Ms Vaishnavi K

AB

Anusuya B

JGR

Jaya Ganesh R

KS

Kanishka S

KV

Kiruthika V

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Abstract

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.

KEYWORDS

Cosmetic Advisor System Image analysis Skin Health CNN Algorithms Recommendation Engine Dermatological Consultations .

Cite This Article

Ms Vaishnavi K, Anusuya B, Jaya Ganesh R, Kanishka S, Kiruthika V, "SKINTELLECT: AI-POWERED PERSONALIZED SKINCARE SOLUTIONS FOR HEALTHIER SKIN," International Journal of Scientific Research in Engineering and Management, May 2025. https://doi.org/10.55041/IJSREM48930

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Publication Date

5/28/2025

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Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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