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Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Cosmetic Product Suggestion System Based on Facial Features and Skin Features

Shenal PereraDepartment of Information Technology, Sri Lanka Institute of Information Technology, Malabe, SriLankaSulakshana RanaweeraDepartment of Information Technology, Sri Lanka Institute of Information Technology, Malabe, SriLankaRavindu InduwaraDepartment of Information Technology, Sri Lanka Institute of Information Technology, Malabe, SriLankaRasindu IndusaraDepartment of Information Technology, Sri Lanka Institute of Information Technology, Malabe, SriLankaGeethanjali WimalaratneDepartment of Information Technology, Sri Lanka Institute of Information Technology, Malabe, SriLankaSathira HattiarachchiDepartment of Information Technology, Sri Lanka Institute of Information Technology, Malabe, SriLanka

Vol 7 No 10 (2023): Volume 7, Issue 10, October 2023 | Pages: 503-510

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 05-11-2023

doi Logo doi.org/10.47001/IRJIET/2023.710066

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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.

Keywords

Product Recommendation, Demographics Identification, Facial Skin Conditions Detection, Skin Diseases detection, Hair and scalp Condition Detection


Citation of this Article

Shenal Perera, Sulakshana Ranaweera, Ravindu Induwara, Rasindu Indusara, Geethanjali Wimalaratne, Sathira Hattiarachchi, “Cosmetic Product Suggestion System Based on Facial Features and Skin Features” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 10, pp 503-510, October 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.710066

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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