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This project aims to control the system volume and screen brightness using hand gestures. Use your left hand for brightness control and right hand for volume control. For detection of hand landmarks, mediapipe library is used.
AI Rock Paper Scissor with hand gesture is an AI based python project in which you can detect hand and fingers and with the help of your fingers co-ordinates you can figure out if it is an rock, paper or scissor sign with the help of this you can play this game with the AI where the AI plays with the player and the scores are given as per who wi…
PPT Control Using Hand Gesture is a project that allows you to control PowerPoint presentations using hand gestures. Instead of relying on traditional input devices like a keyboard or mouse, this project leverages computer vision techniques to detect hand gestures and map them to specific presentation commands.
This Gesture Control System allows users to control various system functions (like mouse movement, volume adjustment, and screen brightness) using hand gestures through a webcam. It leverages MediaPipe for hand tracking and PyAutoGUI for controlling the system. The project enables intuitive, hands-free control for everyday tasks.
Developed python exe setup using tkinter to fully control mouse & keyboard by human hand and eye movements. It works with the help of different libraries and packages like OpenCV, Mediapipe, Cvzone, Dlib, Haar Cascade, etc.
Developed an automated presentation system using hand gesture recognition, and integrated the Gemini API to dynamically generate PowerPoint slides based on user prompts.