Facial Skincare Products Recommendation using IP and CNN

Journal: GRENZE International Journal of Engineering and Technology
Authors: Sahana B Srinivasa, Prerana V, Rohen C Mayankh, Megha V
Volume: 10 Issue: 2
Grenze ID: 01.GIJET.10.2.291_1 Pages: 4694-4700

Abstract

The usage of cosmetic products is rapidly expanding, due to the development in economy and because of the trend in aging. In ever-expanding market of skincare, facial skin care product is the most popular and is always in the leading position in abundant usage and production among the skin care products. But then, in the present market the availability of skin care products is in thousands, with numerous options. As a person’s skin type is not as same as other when compared, thus usage of unsuitable products can lead to either no improvement or to a huge damage to the skin. The most frequent issue in facial problems is acne, wrinkles, aging, pores etc. The major skin problem among the above is skin tone, skin type, acne. Therefore, this AI trained model which analysis the skin of a person through the computer-vision (CV) technology and predicts his skin tone, skin type, acne. It's necessary for a person to know about his skin so that he/she can use the right product. Through using this AI model, he/she can get to know about his skin in place where he is, and know his skin type.

Download Now << BACK

GIJET