AI nail art customization: Enhancing user experience through skin tone and nail disease detection using self-supervised learning
By: Nerida, Princess Jane M.; Tan, Alexa M
Language: English Publisher: . . c2025Content type: text Media type: unmediated Carrier type: volumeGenre/Form: academic writingDDC classification: . LOC classification: T597 N47 2025| Item type | Current location | Home library | Collection | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|---|
| Thesis/Dissertation | PLM | PLM Filipiniana Section | Filipiniana-Thesis | T597 N47 2025 (Browse shelf) | Available | FT8783 |
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.
Filipiniana

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