AI-BASED SKIN DIAGNOSTICS AND SKINCARE OPTIMIZATION USING MACHINE LEARNING

Abstract

Abstract. The field of skin care has been actively developing in recent years, but many consumers face difficulties in selecting effective products, as there are no available and accurate tools for skin analysis. Consultations with a dermatologist are not available for most people due to the expensive price. This study offers a mobile application based on artificial intelligence (AI) that uses image recognition algorithms to analyze skin conditions. The application determines the type of skin, identifies problems (acne, wrinkles, pigmentation, etc.) and finally forms personalized recommendations for care.

The purpose of the article is to develop a reliable AI tool that simplifies access to personalized skin care. The main tasks include selecting an accurate AI model, an intuitive interface, and evaluating effectiveness through user testing. Special attention is paid to data privacy issues. The resulting tool will provide high model accuracy in skin assessment and contribute to the development of digital healthcare by offering an affordable solution that expands the possibilities of skin care.