Skintify: Smart skin analysis and Product Recommendations Application

Abstract

This thesis introduces Skintify, an innovative mobile application designed to revolutionize the way individuals select skincare products. By harnessing the power of state-of-the-art technologies, including machine learning and image processing, Skintify offers personalized skincare recommendations uniquely tailored to various users. The application analyzes the skin type of the user by processing user facial images. This comprehensive analysis allows Skintify to recommend skincare products that precisely meet the individual needs of the user, thus providing a customized skincare regimen. This thesis details the development process of Skintify, from conceptualization to implementation, including the technological challenges encountered and the solutions employed. It details the prepared application that employs our trained model with a validation accuracy of 82.91%. Through Skintify, this work demonstrates the feasibility and effectiveness of applying advanced technological solutions to personal care, highlighting a significant step forward in the intersection of technology and personal health and wellness.