Personalized beauty system

A method, comprising:

• capturing one or more images of a subject with a camera;
• using a genetic analyzer to generate subject genetic information including one or more skin related SNPs by characterizing the subject's genetic information with skin health, wherein the SNP associated with a reference SNP identification number affects an enzyme or function relating to collagen formation, sun protection, antioxidant protection, glycation protection, or inflammation control;
• applying a learning network having an input layer, a convolution layer, a pooling layer, and a fully connected (FC) layer that predicts product response of the subject based on genetic linkage of said one or more skin related SNPs to one of:
• collagen formation, sun protection, antioxidant protection, glycation protection, inflammation control, and wherein the learning network predicts product response by learning associations with cosmetic material events, sex related adverse events, polypharmacy side effects for pairs of cosmetic materials, and protein structural similarity;
• selecting one or more products based on the skin health markers and predicted product response;
• and
• rendering one or more subject images with a predicted product response based on predicted material side effect and genetic sensitivity to one of:
• collagen formation, sun protection, antioxidant protection, glycation protection, inflammation control.