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**Real-Time Pose Application** is an advanced system designed to capture and classify real-time body movements using the **TensorFlow** library and **ReactJS**. 🚀\n\nThis repository contains an implementation of:\n\n✅ **Real-Time Body Pose Detection and Movement Classification** 🏋️🤸‍♂️🤼\n\n## 📝 Description\nThis application leverages the pre-trained **PoseNet** model from **TensorFlow.js** to detect real-time body poses through a connected webcam. \n\nThe interface displays a live webcam feed, tracks the user's performed movements, and counts the repetitions for each exercise.\n\n## 🏗️ Project Structure \n```\nreal-time-pose\n├── public/\n│   └── index.html      \n├── src/\n│   └── App.js   \n│   └── index.js    \n│   └── utilities.js       \n```\n\n## 🚀 Getting Started\n\n### 📋 Prerequisites\nMake sure you have the following installed:\n- [Node.js](https://nodejs.org/) (v16+ recommended)\n\n### 🔧 Installation\n```sh\ngit clone https://github.com/omatheusribeiro/real-time-pose.git\n```\n```sh\ncd real-time-pose\n```\n```sh\n# Install dependencies\nnpm install\n```\n\n### ▶️ Running the Project\n```sh\n$env:NODE_OPTIONS=\"--openssl-legacy-provider\"\nnpm start\n```\nThen open your browser and go to: **http://localhost:3000/** 🚀\n\n## 🛠️ Technologies Used\n- **ReactJS**\n- **TensorFlow.js**\n- **JavaScript**\n- **HTML \u0026 CSS**\n\n## 📜 License\nThis project is licensed under the BSD 3-Clause License.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fomatheusribeiro%2Freal-time-pose","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fomatheusribeiro%2Freal-time-pose","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fomatheusribeiro%2Freal-time-pose/lists"}