Abstract:
Our project, "When AR Meets Style", introduces a unique approach for e-commerce where we introduce virtual try on with clothing products, allowing customers to try on clothes before buying. We provide both Real-Time and AI trained 2D model where user could upload photo to check the cloth on himself or see it real time using his camera. This capability increaces customer interaction with the site as well as address the issue of high return rates(which is around 20–30% [1]) due to customers not finding the clothing material suitable for their body or how it fits them . The project is developed using the MERN stack technology (MongoDB, Express.js, React.js, Node.js), making it accessible to both users and sellers through a web browser.It also focuses on scalability and efficiency, using cloud storage for 3D assets and secure payment options (such as Stripe) for seamless transactions. The React-based frontend interacts with the Express.js backend to ensure a responsive and user-friendly experience. Additionally,a retailer dashboard , which provide analytics and insights into user activity and product performance As a result, our project not only enhances customer satisfaction but also establishes a modern foundation for the future of e-commerce.
