| 000 -LEADER |
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| fixed length control field |
02668nam a22002297a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
FT8783 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251111092835.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
251111b ||||| |||| 00| 0 eng d |
| 041 ## - LANGUAGE CODE |
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| Language code of text/sound track or separate title |
engtag |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
T597 N47 2025 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
. |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Nerida, Princess Jane M.; Tan, Alexa M. |
| 245 ## - TITLE STATEMENT |
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| Title |
AI nail art customization: Enhancing user experience through skin tone and nail disease detection using self-supervised learning |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
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| Place of production, publication, distribution, manufacture |
. |
| Name of producer, publisher, distributor, manufacturer |
. |
| Date of production, publication, distribution, manufacture, or copyright notice |
c2025 |
| 336 ## - CONTENT TYPE |
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| Source |
text |
| Content type term |
text |
| Content type code |
text |
| 337 ## - MEDIA TYPE |
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| Source |
unmediated |
| Media type term |
unmediated |
| Media type code |
unmediated |
| 338 ## - CARRIER TYPE |
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| Source |
volume |
| Carrier type term |
volume |
| Carrier type code |
volume |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
ABSTRACT: The current landscape of nail care and customization presents significant limitations for individuals seeking both personalized aesthetics and nail health awareness. Many people encounter challenges in achieving nail art designs that align with their unique skin tones, often due to the lack of intelligent, adaptive systems in nail care technologies. Traditional platforms typically often generic designs, resulting in mismatched or unflattering outcomes that reduce user satisfaction. Moreover, the absence of diagnostic capabilities in these systems prevents the early identification of nail diseases, which could potentially compromise nail health and lead to unsafe or inappropriate nail applications. This oversight not only affects the visual appeal of nail art but also contribute to the neglect of underlying nail conditions that require attention. Consequently, the lack of advanced technology in nail care and disease detection limits the ability to achieve personalized nail aesthetics and maintain healthy nails, emphasizing the need for a more holistic and innovative approach. In this paper, the researchers address this issue by proposing a solution that focuses on integrating both nail art personalization and nail health evaluation with self-supervised learning (SSL) techniques. It aims to enhance the overall user experience by generating nail art recommendations that are tailored to each individual’s skin tone while simultaneously assessing nail health to promote better care practices. The system leverages advanced techniques to examine nail features and detect visual patterns associated with potential nail concerns, encouraging informed decisions and safe beauty routines. By combining aesthetic creativity with preventive care, the proposed solution not only supports self-expression but also fosters a more responsible and mindful approach to nail beauty. This initiative highlights the importance of aligning visual appeal with overall well-being. |
| 526 ## - STUDY PROGRAM INFORMATION NOTE |
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| Classification |
Filipiniana |
| 655 ## - INDEX TERM--GENRE/FORM |
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| Genre/form data or focus term |
academic writing |
| 942 ## - ADDED ENTRY ELEMENTS |
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| Source of classification or shelving scheme |
|
| Item type |
Thesis/Dissertation |