Published Paper Details:

This paper explores the concept of real-time image filtering in video streams, focusing on enhancing visual communication during live interactions. Real-time image filtering allows users to apply various effects--such as black-and-white or cartoonish filters--instantly during video calls, creating an engaging and dynamic experience. By capturing live video feeds from users' cameras, the application processes each frame to apply selected filters, ensuring that changes are displayed without noticeable delay. This interactivity fosters spontaneity and creativity, enabling users to switch filters on the fly and share their experiences on social media platforms. The project aims to develop a user-friendly application that not only enriches personal interactions but also encourages self-expression in a fun and visually appealing manner. Ultimately, these frame processing, opencv, webRTC and FlaskAPI technology enhances the way we communicate, making digital interactions more lively and enjoyable.