Gesture recognition is a powerful tool, and one of the fastest ways to learn something is with a teacher. With machine learning and gesture recognition, we can give feedback to players against an "instructor" set of data from one of our teammates, Kat, who has played tennis since she was three.
What it does
We trained a machine learning model with correct and incorrect data to see if your stroke is good or not good.
How we built it
Challenges we ran into
Training the gestures Bluetooth Crappy hardware How to use Expo without knowing how to use expo
Accomplishments that we're proud of
Beautiful UI LEDs
What we learned
Despite having little documentation, Expo.io is pretty great Machine learning takes time Hardware takes time Giphy is really cool
What's next for Ten Out of Tennis
Enable functionality for left handed people Measure the activity level/ how many calories are burned by player More gestures Monitor footwork Add sound