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https://github.com/omatheusribeiro/real-time-ai-hand-pose

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.
https://github.com/omatheusribeiro/real-time-ai-hand-pose

css detection front-end front-end-development frontend hand-pose handpose html javascript react reactjs real-time recognition tensorflow

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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:
- [Node.js](https://nodejs.org/) (v16+ recommended)

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

### ▶️ Running the Project
```sh
$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.