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In this study, we conducted the study by setting a method to improve the user experience of beauty self-care devices as voice DB, and aim to design a voice database. According to an investigation into beauty self-care products at home and abroad, voice services were being conducted only for some products, but this was added as voice services only to guide product usage instructions, not those based on artificial intelligence-based services. Therefore, in this study, DB design was conducted by classifying large/medium categories to provide skin curation voice service, and for DB design, there were three stages: beginning, middle, and end. The middle/small classification was conducted by setting the skin user’s behavior based as details. The amount of DB built was about 228 samples. This study is expected to be the basic research data of beauty self-care artificial intelligence technology and curation technology.