Cosmetics Suggestion System using Deep Learning

Abstract

Today, cosmetics have a big impact on how individuals look. It can be challenging to select the best skincare item. People can select the ideal product for their skin type using the predictive way it offers. Traditional methods cannot compare to the compositional notion. In IT departments for cosmetics and beauty care, complex procedures are streamlined using deep learning algorithms. The client base and product selection of the beauty sector have both grown over time. The importance of selecting the best cosmetics grows as the number of goods and consumers rises. A person's look (skin quality) is greatly influenced by cosmetics, thus consumers must select the ideal cosmetics for them depending on their unique qualities. Finding cosmetics that work for their skin type can be challenging because everyone has a distinct type. The composition will vary depending on whether the skin is dry, oily, or neutral. Because they can examine vast amounts of unstructured data and offer illuminating solutions, Deep learning algorithms are particularly well-suited to tackle this issue.