FaceMap: AI-Powered Skin Type and Acne Analysis in Real-Time

Facial recognition technology enables the identification and analysis of human faces from digital images or video frames by extracting and measuring key facial features. Beyond user authentication, AI-driven skin analysis has emerged as a rapid and accurate diagnostic tool for assessing various skin conditions. Leveraging advanced machine learning algorithms, this technology can detect multiple skin concerns, including acne severity, hydration levels, redness, and wrinkles, within seconds. The AI-powered Skin Analyzer evaluates the T-zone and U-zone of the face to determine key skin attributes such as oiliness, dryness, and sensitivity. This analysis helps classify skin types into categories like normal, oily, dry, sensitive, or combination, providing a foundation for personalized skincare recommendations. FaceMap: AI-Powered Skin Type and Acne Analysis in Real-Time enhances skin assessment by analyzing images from different facial angles—front, left, and right profiles. This real-time analysis ensures comprehensive facial coverage, including traditionally challenging areas like the chin and cheeks

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Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2025-07-13
DOI
https://doi.org/10.48175/ijarsct-28325
Primary Topic
Acne and Rosacea Treatments and Effects
Type
article
Field-Weighted Citation Impact
0.00
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article

FaceMap: AI-Powered Skin Type and Acne Analysis in Real-Time

Uttara Gogate, Sushank Ashok Bhalerao, M. S. Jadhav, Prof. Diksha Bhave et al.
International Journal of Advanced Research in Science Communication and Technology
Acne and Rosacea Treatments and Effects
article

FaceMap: AI-Powered Skin Type and Acne Analysis in Real-Time

Uttara Gogate, Sushank Ashok Bhalerao, M. S. Jadhav, Prof. Diksha Bhave, Sakshi Sonavne
article en

Abstract

Facial recognition technology enables the identification and analysis of human faces from digital images or video frames by extracting and measuring key facial features. Beyond user authentication, AI-driven skin analysis has emerged as a rapid and accurate diagnostic tool for assessing various skin conditions. Leveraging advanced machine learning algorithms, this technology can detect multiple skin concerns, including acne severity, hydration levels, redness, and wrinkles, within seconds. The AI-powered Skin Analyzer evaluates the T-zone and U-zone of the face to determine key skin attributes such as oiliness, dryness, and sensitivity. This analysis helps classify skin types into categories like normal, oily, dry, sensitive, or combination, providing a foundation for personalized skincare recommendations. FaceMap: AI-Powered Skin Type and Acne Analysis in Real-Time enhances skin assessment by analyzing images from different facial angles—front, left, and right profiles. This real-time analysis ensures comprehensive facial coverage, including traditionally challenging areas like the chin and cheeks

International Journal of Advanced Research in Science Communication and Technology
Shivaji University (IN)
Openalex Percentile: Top 70%
Acne and Rosacea Treatments and Effects
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FaceMap: AI-Powered Skin Type and Acne Analysis in Real-Time — Uttara Gogate, Sushank Ashok Bhalerao, et al. · International Journal of Advanced Research in Science Communication and Technology (2025) | TGRS Research Map | TGRS