Real-Time Gesture Recognition for Presentation Control Using Computer Vision

A Python-based Computer Vision application that enables hands-free control of Microsoft PowerPoint presentations using real-time hand gesture recognition. The system utilizes a webcam to detect hand landmarks through MediaPipe Hands and maps predefined gestures to presentation controls such as starting the slideshow, navigating between slides, zooming, and laser pointer activation.

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📌 Overview

Traditional presentation methods rely on keyboards, mice, or presentation clickers, limiting the presenter's mobility and interaction with the audience. This project provides a touchless presentation control system that recognizes hand gestures in real time using Computer Vision techniques.

The application captures live video through a webcam, detects hand landmarks using MediaPipe Hands, interprets predefined gestures, and executes corresponding PowerPoint commands through PyAutoGUI and PyWin32.

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✨ Features

• Real-time hand gesture recognition
• Hands-free PowerPoint presentation control
• Start presentation using gesture
• Navigate to next and previous slides
• Zoom In and Zoom Out functionality
• Laser pointer mode
• Real-time webcam processing
• Single-hand gesture detection
• User-friendly interface for selecting presentation files

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🛠️ Technologies Used

Technology	Purpose
Python	Application Development
OpenCV	Image Processing & Webcam Capture
MediaPipe Hands	Hand Landmark Detection
PyAutoGUI	Keyboard Automation
PyWin32	Microsoft PowerPoint Integration
Tkinter	File Selection Interface

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⚙️ Installation

Clone the repository

git clone https://github.com/Sahityan15/real-time-gesture-presentation-control.git

Navigate to the project folder

cd real-time-gesture-presentation-control

Install dependencies

pip install -r requirements.txt

Run the application

python main.py

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▶️ Usage

1. Launch the application.
2. Select the PowerPoint (.pptx) presentation.
3. The webcam starts automatically.
4. Perform the supported hand gestures to control the presentation.
5. Exit the presentation using the designated stop gesture.

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📸 Screenshots

Screenshots demonstrating the application workflow will be added here.

• PowerPoint File Selection

• Hand Landmark Detection

• Gesture Recognition

• Presentation Control

• PowerPoint Slide Navigation

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📄 License

This project is licensed under the MIT License. See the LICENSE file for more information.