People who are deaf or dumb express themselves through gestures. Numerous applications utilizing gesture detection, computer vision, machine learning, etc. have been created. Python-based hand gesture recognition is an interesting area of computer vision that seeks to read and comprehend hand motions and movements recorded by cameras. It is utilized in a variety of fields, including robotics, virtual reality, sign language interpretation, and humancomputer interface.The classification and interpretation of hand gestures is the aim of hand gesture recognition.In this paper, a straightforward method for gesture recognition is provided. Opencv and Numpy are two Python libraries used here. The method entails capturing real-time gestures and utilizing OpenCV tools to recognize them. The screen for output displays the output as a computer webcam stream.
