AI-Enabled Skin Classification and Customized Product Recommendation
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Abstract
In this paper, we develop an AI-enabled skin classification and Customized Product Recommendation System using skin images for skincare recommendation. The system needs to learn deep learning along with some local image processing techniques in order to classify skin features out of user uploaded images. We have used a MobileNetV2-based model for skin image classification, and we have also performed some image preprocessing and data augmentation methods to develop the model. The system predicts what skin type you will have and this can be complemented by skincare product advice. The application further incorporates user registration and authentication, FAQ module, an administrative panel for managing users, as well as system content. The proposed system will be an automated, personalized and user-friendly skincare management platform that helps to minimize the dependence of manual skin assessment along with generic questionnaire-based recommendations
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