Neural Network for Selecting Cosmetics by Photo

The research proposed a convolutional neural network written in Python using libraries: openCv, MTCNN, matplotlib libraries, which, based on the photo, based on the color of the eyes and skin, determines the appropriate cosmetics: shadows, lipstick, foundation in several segments. Algorithm of this code: The coordinates of facial features and the face itself. The brightness values of the pixels and compared with the reference. Determine the color of the eyes and face on, this proposed suitable cosmetics. The general approach to the neural network features a new online raw data analysis strategy that can improve performance.