Exact skin type and customized product suggestions are essential components of contemporary skincare regimens that improve personal results. The new method for skin classification and subsequent customized cosmetic product suggestions presented in this paper makes use of convolutional neural networks (CNN). Using deep learning techniques, the study uses face image classification to classify skin types that take into account characteristics such as oily, dry, normal, and acne. To provide tailored suggestions for cosmetic products, the suggested model incorporates these classes as well. Streamlining and optimizing skincare routines for a range of skin types, the study emphasizes the potential of cutting-edge computational tools to revolutionize individualized skincare procedures.