A Novel Virtual Cosmetics Recommender System Based On Pre-Trained Computer Vision Models

The cosmetics industry has witnessed significant growth over the years, driven by changing beauty ideals, economic factors, and the rise of natural and organic beauty products. Artificial intelligence (AI) has played a crucial role in revolutionizing the cosmetics and personal care sector. This paper presents a virtual cosmetics recommender system that leverages AI and machine learning techniques to provide personalized cosmetic recommendations based on user images. The system utilizes a dataset comprising various well-known cosmetic brands, and the recommendation process involves image feature extraction, similarity analysis, and brand mapping. The proposed system aims to enhance decision-making and provide an interactive user interface for cosmetic brand classification. The experimental results demonstrate the effectiveness of the system in generating accurate cosmetic recommendations.