Treffer: Virtual try-on wardrobe using ML and DL.

To address the common hesitation in purchasing clothes and jewelry online, we developed an online virtual try on Application. This application enables users to visualize wearable items on themselves in real-time, enhancing confidence in online shopping. The app captures video through the device's camera, breaks it into frames, and isolates the user's body from each frame. Using key functions, it identifies joint positions and applies transformations, rotations, and scaling to align the wearable item onto the user's image. Our path to project includes examining various methods for real-time overlay, analyzing the benefits and limitations of each approach. Implemented as a Flask web application, this project utilizes OpenCV with Python, making it accessible to devices with a camera, internet access, and a browser. This system aims to provide users with a realistic, interactive way to "try on" items virtually. [ABSTRACT FROM AUTHOR]