Yoha: Write in thin air with custom hand tracking - Made with TensorFlow.js

Meet Benjamin Mularczyk, a software engineer based in Zürich, Switzerland who shares his hand detection software, Yoha, thats powered by a custom made TensorFlow.js model. Inspired by the whiteboard experience, Yoha detects your hand within a video stream and allows you to sketch with your hand in real time as visuals appear on the screen in front of you or to a remote audience. Learn how this hand tracking engine is using Web ML in the browser enabling anyone anywhere to try and use this technology at scale. Try it for yourself: Github → https://goo.gle/3LpjEjJ Website / demo → https://goo.gle/3sIf5KP Want to be on the show? Use #MadeWithTFJS or #WebML 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