AI Style Recommendation Application based on User Data

Abstract

Depending on the style, it provides the function to recommend based on the information you entered, but the function of the system considering the user's clothes and coordination style, and the function of the style evaluation are insufficient. In this paper, we recommend the coordination image of the expert based on the styling registered by the user and recommend the coordination combination based on the clothes registered by the user. Moreover, it constitutes with the function of evaluating its own coordination image. We develop Androidbased style recommendation applications to solve user's troubles immediately.

This application collects and analyzes data of clothes and coordination information registered by the user and provides recommendation services and evaluation services using deep learning based on this. It also offers a variety of additional features such as calendar, YouTube recommendation, and My Page. The user can solve the problem immediately through the application and save time and implement the coordination with high completeness.