Published Paper Details:

This project aims to develop a virtual try-on system for shirts using computer vision techniques in Python. The system will leverage the OpenCV library to capture live video streams from a webcam and apply body gesture recognition to track key points on the user's body. By overlaying virtual shirts onto the user's video feed in real-time, the system will simulate a realistic try-on experience. The project will focus on enhancing the user's online shopping experience by providing a visual representation of how different shirts look and fit. The system's interface will allow users to interactively select and try on various shirts, providing them with a personalized and engaging shopping experience. Evaluation of the system will be based on its accuracy in simulating shirt fit, user feedback on usability and realism, and its ability to seamlessly integrate with existing e-commerce platforms. The outcome of this project is expected to improve user satisfaction and increase confidence in purchasing shirts online. Additionally, we identify and discuss similarities and differences in these methods.