AI-Based Fashion Recommendation & Virtual Try-On System

Abstract

The AI-Based Fashion Recommendation and
Virtual Try-On System is an intelligent web application
designed to revolutionize the online fashion shopping
experience. The system integrates artificial intelligence,
image processing, and machine learning techniques to
provide personalized outfit recommendations and a virtual
try-on facility. Users can upload their photographs and
virtually try on clothing items without physically wearing
them. The system incorporates background removal using
the rembg library, outfit generation, wardrobe
management, and a recommendation engine powered by
AI algorithms. The backend is developed using Flask
(Python), while the frontend utilizes HTML, CSS, and
JavaScript. Image processing is handled through PIL and
rembg libraries. The system eliminates the limitations of
traditional online shopping by providing a personalized,
interactive, and intelligent fashion experience. Overall, the
proposed system enhances user engagement, reduces
return rates, and promotes confident purchase decisions