PERSONALIZED SKINCARE PRODUCTS RECOMMENDATION SYSTEM USING ML AND DL

Abstract

The personalized skincare product recommendation system leverages machine learning (ML) and deep learning (DL) techniques to provide tailored product suggestions based on individual skin profiles. The system utilizes a combination of user input, skin condition analysis, and product data to deliver recommendations that address specific skincare needs. By integrating advanced ML algorithms and DL models, the system aims to enhance user experience, improve skincare outcomes, and drive engagement with personalized recommendations. This paper details the design, implementation, and evaluation of the system, demonstrating its efficacy in delivering accurate and relevant skincare product recommendations.