TensorFlow JS Real-Time Detection Masterclass - Build a Machine Learning Web App

Unlock the power of real-time detection with TensorFlow JS in this masterclass, where you'll learn to build a machine learning web app from scratch. Start by understanding the project requirements, focusing on developing a face and hand tracking video web app using React. You'll also dive into essential tools like Yarn, learning how to run project files efficiently and manage dependencies with the yarnrc YML file. This section ensures you have a strong foundation for setting up your development environment and handling project configurations smoothly.

Next, you'll bring your web app to life by integrating TensorFlow JS for real-time detection. Learn how to upload videos to your React app and implement face landmark detection using TensorFlow's powerful AI capabilities. The series also covers setting up a canvas to visually track and draw detected faces, enhancing the user experience. Finally, you'll explore hand pose detection, allowing your web app to detect and respond to hand movements in real-time. By the end of this bundle, you'll have the skills to build and deploy a fully functional machine learning web app with real-time detection features.