Personalized Skincare Recommender System Using Deep Learning

This paper showcases a cutting-edge skin care recommender system that is made to offer customized skincare advice depending on each person’s skin type, problems, and preferences. The system analyses user-specific data, such as skin features, issues with skin care, and preferences, by using sophisticated machine learning algorithms. The system creates customized recommendations to maximize the effectiveness of skincare routines by combining user-provided data with a thorough skincare product database and the diagnosis of the skin issues. The recommender system follows a rigorous approach, considering factors such as targeted skincare aims, significant impacts, and skin type. Since we have created the recommendation system to respond to changes in user preferences, deep learning techniques are used to continuously improve and modify the recommended diagnostic.