🚀 GestureSlide

Control Image Slides with Hand Gestures
GestureSlide allows users to navigate image slides using hand gestures, providing a seamless and futuristic user experience.

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📌 Features

Feature	Description
Gesture Control	Navigate slides using hand gestures
AI-powered Detection	Uses AI for gesture recognition
Customizable UI	Modify the UI according to your preference
Lightweight & Fast	Optimized for smooth performance
Cross-Platform Support	Works on Windows and other supported OS

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🛠 Tech Stack

✅ Programming Language(s): Python
✅ Libraries Used: OpenCV, Mediapipe ✅ GUI: PyQt
✅ Other Tools: NumPy, Pip

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📦 Installation

🔹 Prerequisites

• Python 3.10 installed
• Required dependencies

🔹 Setup Instructions

# Clone the repository
https://github.com/its-maneeshk/GestureSlide-Image_Slider.git

# Navigate into the project directory
cd GestureSlide-Image_Slider

# Create a virtual environment (optional but recommended)
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Run the application
python Image-Slider.py

🚀 Running the Project

python Image-Slider.py

Note

Step 1: Start the application.

Step 2: Allow camera access.

Step 3: Use hand gestures to navigate through images.

Step 4: Close the application using the UI exit button.

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📸 Screenshots

Interface	Preview
Application UI

📌 More detailed UI screenshots can be found in the project_images/ folder.

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🔗 Contributing

💡 Want to contribute? Fork the repo, create a branch, and submit a pull request. I welcome bug fixes, feature improvements, and optimizations.

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📬 Contact

💻 Developed by Manish Patel

📧 Email: maneeshkurmii@gmail.com
🔗 LinkedIn: itsmaneeshk
📷 Instagram: its_maneeshk_

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🏆 Tech Badges

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