Five-Project Series

Human Pose Estimation with TensorFlow.js and React you own this product

basics of JavaScript • basics of HTML • basics of React • basics of TensorFlow.js • basics of machine learning and web development
skills learned
setting up TensorFlow.js PoseNet model in React Web app • adding Material-UI to React project • collecting and processing human pose data stream • running the inference and getting top results by classification score
Andrej Baranovskij
5 weeks · 4-6 hours per week average · INTERMEDIATE

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5, 10 or 20 seats+ for your team - learn more

In this series of liveProjects, you’ll use the ReactJS JavaScript framework and the TensorFlow.js PoseNet model to create an exercise mobile app that estimates and tracks human poses. Each project in this series delves into a different and standalone aspect of constructing an AI-enhanced mobile app.

These projects are designed for learning purposes and are not complete, production-ready applications or solutions.

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  • Human Pose Estimation with TensorFlow.js and React project for free

project author

Andrej Baranovskij
Andrej Baranovskij is a TensorFlow-certified developer who runs his own machine learning startup company Katana ML. Andrej is responsible for building machine learning products for enterprise operations automation. Previously, he spent 15 years working with Oracle technology and building various enterprise systems across the globe. His software development experience allows to bridge a gap between machine learning and software development.


This liveProject is for both web developers and machine learning engineers. Web developers experienced with JavaScript will learn how to integrate TensorFlow into their applications, while ML engineers will be interested in developing their skills for user interfaces.

  • Basics of JavaScript
  • Basics of HTML
  • Basics of Node.js, NPM, and Yarn
  • Basics of React
  • Basics of TensorFlow.js
  • Visual Studio Code
  • Basics of machine learning
  • Basics of web development with HTML/JavaScript

you will learn

In this liveProject, you’ll learn to add the TensorFlow.js library to a newly created React app. You will also learn the basics of Machine Learning, including how to construct a neural network model, fit your model with training data, and make predictions.

  • Setting up a React development environment with Node.js, NPM, and Yarn
  • Creating a React web app and analyzing app structure
  • Creating a basic UI and event listeners in React
  • Constructing a neural network model with TensorFlow.js
  • Training a TensorFlow.js model with synthetic data
  • Predicting new values with a trained TensorFlow.js model


You choose the schedule and decide how much time to invest as you build your project.
Project roadmap
Each project is divided into several achievable steps.
Get Help
While within the liveProject platform, get help from other participants and our expert mentors.
Compare with others
For each step, compare your deliverable to the solutions by the author and other participants.
book resources
Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.