Virtual try-on platform

Yeaw, Wooi Tong (2025) Virtual try-on platform. Final Year Project, UTAR.

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Abstract

The project focuses on developing a comprehensive Virtual Try-On (VTO) application that integrates Deep learning (DL) technologies. The aim is to provide users with an immersive experience to visualize and customize their full-body look, including clothing, makeup. This solution addresses the limitations of existing virtual try-on systems, which are often constrained to specific categories and reliant on in-store systems. The proposed VTO app is designed to offer a complete styling experience, allowing users to experiment with their entire look within one platform. The use of DL enhances effectiveness and realism of the Virtual Try-On (VTO) system. The app also tackles challenges related to hygiene and time consumption by eliminating the need for physical try-ons in stores, making it a timely solution in the post-pandemic digital shopping era. The project employs Android as the development platform to ensure accessibility across a wide range of devices, particularly in emerging markets. By leveraging advanced technologies, the app promises a more convenient, and engaging shopping and styling experience.

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