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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.

License: BSD 3-Clause "New" or "Revised" License

HTML 16.73% CSS 9.04% JavaScript 74.22%
hand-pose handpose html javascript real-time tensorflow css react reactjs detection front-end front-end-development frontend recognition

real-time-ai-hand-pose's Introduction

🤖 Hand Pose Application 🤖

HTML  CSS  React  Tensorflow 

This application is a Hand Pose detector using the TensorFlow library. The goal is to bring new recognition methods using JavaScript and gain new knowledge. Illustrative image of hand pose recognition. Illustrative image of hand pose recognition

Technologies used

Quick start

  1. Fork the project
  2. Clone the project using git clone [email protected]:<YOUR-USERNAME>/real-time-ai-hand-pose.git
  3. Install dependencies npm install
  4. Run the project using npm start

Made with ❤️ for the awesome open-source community!

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