This project showcases a background removal model specifically designed for videoconferencing, utilizing the U-Net architecture in computer vision. Presented as a challenging task to students in the Saturdays.AI course, it highlights practical applications of advanced AI techniques in everyday technology.
The VideoConferencing Background Removal project aims to enhance virtual meeting experiences by developing a sophisticated model that accurately removes backgrounds in real-time video feeds. This implementation of U-Net architecture demonstrates a practical application of AI in improving online communication tools.