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The application was created to identify Hand Pose positions, so I use the Tensorflow library to read the user's hand and identify the movement points.

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🤖 Hand Pose Application

📌 Overview

The Hand Pose Application is a dynamic system designed to detect hand pose positions using the TensorFlow library. 🚀

This repository contains an implementation of:

Real-Time Hand Pose Detection 🤚🖐️👌

📝 Description

The objective of this application is to identify hand pose positions by leveraging the power of the TensorFlow library. The system reads the user's hand and identifies key movement points, providing an effective hand pose detection mechanism. The goal is to explore new recognition methods using JavaScript and to acquire new knowledge in the process.

🏗️ Project Structure

real-time-ai-hand-pose
├── public/
│   └── index.html      
├── src/
│   └── App.js   
│   └── index.js    
│   └── utilities.js       

🚀 Getting Started

📋 Prerequisites

Make sure you have the following installed:

🔧 Installation

git clone https://github.com/omatheusribeiro/real-time-ai-hand-pose.git
cd real-time-ai-hand-pose
# Install dependencies
npm install

▶️ Running the Project

$env:NODE_OPTIONS="--openssl-legacy-provider"
npm start

Then open your browser and go to: http://localhost:3000/ 🚀

🛠️ Technologies Used

  • React
  • TensorFlow.js
  • JavaScript
  • HTML & CSS

📜 License

This project is licensed under the BSD 3-Clause License.

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The application was created to identify Hand Pose positions, so I use the Tensorflow library to read the user's hand and identify the movement points.

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