International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Cosmetic Product Suggestion System Based on Facial Features and Skin Features

Abstract

The cosmetic product suggestion system based on facial, skin, hair and scalp features areproposed solution to help individuals find suitable cosmetic products for their unique skin and facial features. The proposed system employs a fusion of machine learning algorithms and advanced image processing techniques for the comprehensive analysis of facial images, enabling the precise identification of distinctive skin attributes such as skin type, texture, tone, and blemishes. Based on the identified features, the system recommends cosmetic products that are best suited for the user's skin type and facial features. The suggested products include skincare products such as cleansers, toners, moisturizers, and treatments. Overall, the cosmetic product suggestion system based on facial features and skin features has the potential to help individuals make informed decisions about the cosmetic products they use, leading to improved skin health and appearance. The efficacy of the devised model is assessed across diverse metrics, including accuracy, precision, and recall. Findings demonstrate the proposed model's adeptness in accurately discerning gender and skin conditions. This model has the potential to be used in various applications such as medical diagnosis, cosmetics, and personalized skincare recommendations.

Country : Sri Lanka

1 Shenal Perera2 Sulakshana Ranaweera3 Ravindu Induwara4 Rasindu Indusara5 Geethanjali Wimalaratne6 Sathira Hattiarachchi

  1. Department of Information Technology, Sri Lanka Institute of Information Technology, Malabe, SriLanka
  2. Department of Information Technology, Sri Lanka Institute of Information Technology, Malabe, SriLanka
  3. Department of Information Technology, Sri Lanka Institute of Information Technology, Malabe, SriLanka
  4. Department of Information Technology, Sri Lanka Institute of Information Technology, Malabe, SriLanka
  5. Department of Information Technology, Sri Lanka Institute of Information Technology, Malabe, SriLanka
  6. Department of Information Technology, Sri Lanka Institute of Information Technology, Malabe, SriLanka

IRJIET, Volume 7, Issue 10, October 2023 pp. 503-510

doi.org/10.47001/IRJIET/2023.710066

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