A Machine Learning Based Recommendation System For Cosmetics

Abstract

The demand for cosmetics has grown recently, especially in the area of skincare, around the globe. Consumers have traditionally relied on top-selling items or suggestions from the counter while shopping in-store. These are not reliable ways to determine if a product will work with a particular user because everyone has a distinct skin condition. The main goal of this proposal is to develop a system for recommending skincare products based on the user's skin type and the makeup of the product. To determine a product's chemical makeup and locate products with comparable constituent compositions, content-based filtering is utilised. If a user doesn't know what a product is or hasn't discover they like, they may also enter their desired beauty impact instead of a product name using this approach.