Hand Gesture Controlled Presentation Using Computer Vision is a real-time computer vision project that allows users to control presentation slides using hand gestures via webcam without using a keyboard or mouse. Tech Used: Python, OpenCV, MediaPipe, NumPy, PyAutoGUI.
HandySlides: Control PowerPoint slides with arm gestures! Uses Python, MediaPipe, and OpenCV to detect arms via webcam—Choose if you want right or left arm to move forward. PyAutoGUI simulates keys. Perfect for interactive presentations
The Gesture Presentation System is an AI-powered computer vision project that enables users to control presentation slides using hand gestures instead of a keyboard or mouse. By leveraging OpenCV and MediaPipe, the application detects hand landmarks in real time through a webcam and recognizes predefined gestures to perform presentation actions suc
A Python-based Computer Vision application for controlling Microsoft PowerPoint presentations using real-time hand gesture recognition with MediaPipe and OpenCV.
Hand Tracking , presentation slide control and picture movement control modules
Control your mouse and PowerPoint presentations using hand gestures and a webcam.
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