Published Paper Details:

This project presents a hand gesture recognition system that uses Python, Mediapipe, Pytesseract, PyAutoGUI, and OpenCV to enable hands-free interaction with digital devices. It has features like mouse control, PowerPoint control, media player, and whiteboard functionalities, the system utilizes real-time hand tracking and gesture recognition for an intuitive user experience. It can also convert written handwriting to text. Additionally, the handwriting model is trained on a dataset of labeled images and uses transfer learning to improve its accuracy. This project enhances human-computer interaction by combining advanced computer vision techniques with versatile Python libraries, making it valuable for presentations, media control, and collaborative whiteboarding. This project could be used by handicapped people, could be used in school or office presentations, medical sectors where hygiene is important or anywhere where a touch free environment is required.