The TensorFlow Microcontroller Challenge

We challenge you to create a project that pushes boundaries, sparks joy, and shows off the helpfulness of TensorFlow Lite for Microcontrollers.


3 SIMPLE STEPS

1. GET A KIT


Our friends at SparkFun are supplying the first 750 entries with a custom TensorFlow Lite for Microcontrollers Kit. Follow the link below to get yours.


2. LEARN AND BUILD


New to TensorFlow Lite for Microcontrollers? Check out our collection of tutorials, resources, and documentation to get started on your tiny creation. 


View Resources →

3. SUBMIT


Share your entry by July 19th, 2021.

Your submission must use TensorFlow Lite for Microcontrollers and must be open-sourced.


Submit Entry →

WHAT’S IN IT FOR YOU?


Five winners will be selected. You will each receive a prize of $2,500, have the opportunity to participate in a one hour session with members of Google’s TensorFlow team and have your project featured on select Google channels.

WHAT WE’RE LOOKING FOR

FUN
Lighthearted and sparks joy.
CREATIVE
Think outside the box.
HELPFUL
Convenient and easy to use.
APPROACHABLE
Simple and accessible. 

DEMOS AND EXPERIMENTS USING TENSORFLOW LITE FOR MICROCONTROLLERS


These projects combine Arduino and TensorFlow to create awesome experiences and useful tools. You can find helpful links throughout the site for creating your own experiments.

Air Snare

by Google Creative Lab
Play an invisible drum kit.

Finger User Interface

by Google Creative Lab
Control your devices with the wave of a finger.

Tiny Motion Trainer

by Google Creative Lab
A code-free tool that lets you create custom, microcontroller-ready models based on IMU data.

Astrowand

by Google Creative Lab
Draw shapes in the sky to form constellations.

Morning Mountain: Visual Alarm Clock

by Google Creative Lab
Get up in the morning by striking a pose to stop your alarm from ringing.

Submit Your Experiment


Please note, this is the submission form for The TensorFlow Microcontroller Challenge. Your submission must use TensorFlow Lite for Microcontrollers and must be open-sourced.

Experiment details

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