COSMETIC SUGGESTION BASED ON SKIN CONDITION

COSMETIC SUGGESTION BASED ON SKIN CONDITION

Suchethana H C 1, Himashree D2, Keerthana Bhatt S R3, Ranjitha G B4, Smruthi S5

Suchethana H C  Professor, Department of ISE JNN College of Engineering,

Himashree D, Keerthana Bhatt S R, Ranjitha G B, Smruthi S  Department of ISE JNN College of Engineering.

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Abstract - These days, beauty and cosmetology are exceptionally basic to a person's look. People get to a collection of things through online shopping and e-commerce websites. It is very challenging to choose the right cosmetic for human skin.  Given that each person contains a specific type of skin, choosing right cosmetics that suit the person may be annoying. The composition depends on skin type, which can be dry, oily, or normal. Due to the significant crash that makeup have on a person's looks, the client must to choose the finest cosmetics for themselves based on person components . Identification of product that does not include any harms or allergies for the clients is very important. Thus the point of this application is to highlight the current applications of AI and machine learning in beautification and cosmetology by thorough examination of skin condition and prescribe personalized cosmetics based on the type of skin and buy secure things for the skin utilizing the Convolutional Neural Network (CNN). The objective is to achieve tall precision and recognize the skin type precisely.

Keywords: Cosmetic, Skin type, Machine learning, Convolutional Neural Network.