Fashion Augmented Reality Try-On System Using Pose Estimation

The fashion industry's shift towards digital solutions has spurred the development of innovative tools to enhance customer engagement. This project presents a web-based augmented reality (AR) try-on application that allows users to see how garments appear on them in real-time through their device’s camera. By utilizing OpenCV for body detection and garment mapping, the system offers precise virtual clothing overlays, providing shoppers with a realistic and interactive trial experience without visiting physical fitting rooms. Key features of the application include an extensive clothing catalog, AI-driven outfit suggestions, and useful shopping tools like a cart system, social media sharing, and the option to save favorite outfits. By streamlining the shopping process and minimizing dependence on traditional fitting rooms, this platform enhances user convenience, offering a faster and more engaging retail experience.