ABSTRACT Acne is a global skin problem with high prevalence, and in Indonesia, the increasing trend is significant, exacerbated by limited access to professional diagnosis. Therefore, this research aims to develop an accurate automated acne classification and recommendation system. The method used is a Convolutional Neural Network (CNN) with Inception-V3-based transfer learning for classifying…