Real-time Hand Gesture Recognition Using Python and Web Application

The recognition and tracking of hand gestures are essential elements in human-computer interaction systems, providing intuitive control and facilitating interaction with a wide range of devices and applications. We have developed a hand gesture detection system using Python and JavaScript. Our system uses MediaPipe, an open-source framework for machine learning-based perception tasks, to accurately identify and classify hand gestures. MediaPipe handles hand tracking, interpreting the hand curl and movement of hand gestures with high precision. We've built the frontend interface using HTML, CSS, and JavaScript. By combining these technologies, we've created a user-friendly interface where you can interact with the system through hand gestures captured via a webcam. Additionally, we've added our custom machine-learning methods to detect and recognize various hand gestures.Our system has numerous potential applications, including hand-sign translation and gesture-based control for smart devices. By offering an efficient and accessible solution, our project advances human-computer interaction paradigms, enabling more natural and intuitive interactions between users and machines.