Transparent Peer Review By Scholar9
Blockchain using Virtual TRY-ON
Abstract
In today’s dynamic retail environment, the shift towards online shopping necessitates innovative solutions that enhance customer engagement and satisfaction. This project introduces a virtual try-on clothing platform designed to revolutionize the online shopping experience by merging cutting-edge augmented reality (AR) and machine learning technologies. The platform enables users to visualize how garments will fit and appear on their unique body shapes without the need to visit a physical store. By offering a user-friendly interface, the website allows customers to upload personal images or utilize real-time video features, facilitating an interactive and personalized shopping experience. Key functionalities include accurate size recommendations tailored to individual measurements, as well as curated fashion suggestions that align with users' personal styles. These enhancements aim to minimize return rates—a significant challenge in e-commerce—while simultaneously boosting customer satisfaction and driving sales. Additionally, the platform fosters social interaction through built-in sharing capabilities, allowing users to solicit feedback from friends and family, thus enriching the decision-making process. This aspect not only enhances the shopping experience but also builds a sense of community around fashion choices. By integrating advanced technology with a seamless and engaging user experience, this virtual try-on website represents a substantial advancement in online fashion retail. It sets the stage for a more personalized and interactive shopping journey, ultimately redefining how consumers engage with fashion in the digital age. As we look to the future, this platform aims to become a cornerstone of online retail, reflecting the evolving needs and preferences of today’s consumers.