Pose estimation for sport routines - Made with TensorFlow.js

Meet Francisco Baptista, the CEO & Founder of TeamSportz.Pro, an AI sports performance platform that allows coaches and players to use pose estimation models powered by TensorFlow.js to access the statistics they need to improve performance or compete against each other. Listen as Francisco shares how they use our latest MoveNet model to monitor and optimize exercise routines with a simple web interface, which can then be deployed to the field via their native application using TensorFlow.js in both situations. Try it for yourself: Team Sports by Francisco Baptista → https://goo.gle/3hHzWbH Get the app on Google Play → https://goo.gle/3BoLYgY Want to be on the show? Use #MadeWithTFJS to share your own creations on social media and we may feature you in our next show. Catch more #MadeWithTFJS interviews → http://goo.gle/made-with-tfjs Subscribe to the TensorFlow channel → https://goo.gle/TensorFlow product: TensorFlow - TensorFlow JS, TensorFlow - General; fullname: Jason Mayes;