化妆品
皮肤护理
产品(数学)
计算机科学
美女
皮肤类型
化妆品工业
风险分析(工程)
业务
互联网隐私
皮肤病科
医学
数学
哲学
病理
几何学
认识论
护理部
作者
N Kavyashree,Rama Satish K V,Prasanna Rajaram Rasal,Rahul J. Jadhav,Malgireddy Saidireddy,K. G. Kharade
标识
DOI:10.1109/icacrs55517.2022.10029120
摘要
Today, cosmetics have a big impact on how people look. Customers can access a range of products and conduct e-commerce on the website. Choosing the best product for our skin might be challenging. It offers a prediction approach so that individuals can select the goods that are suitable for their skin type. Configuration concepts perform better than conventional methods. It uses deep learning technology to streamline the complex procedures in the IT industry for cosmetics and beauty care. Along with its clients and product offerings, the beauty sector has grown over time. With the expansion of products and consumers, selecting the right cosmetics becomes more and more important. Due to the substantial influence that cosmetics have on a person's appearance, the client should choose the best cosmetics for themselves based on personal factors (skin type). Given that every person has a distinct type of skin, choosing cosmetics that suit the person may be difficult. The composition depends on whether the client has oily, dry, or neutral skin. Even the product the user is looking for can have an extremely difficult skin condition; AI algorithms are perfectly suited to address this problem since they can evaluate massive amounts of unstructured data and generate insightful results.
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