awesome-teachable-machine VS FtcRobotController

References: Scratch Blockly Google Teachable Machine LEGO Spike Prime

Google’s Teachable Machine: Create ML models without coding.

Not sure if I've seen anything of the sort, seems rather specific. Maybe try a Teachable Machine project? https://teachablemachine.withgoogle.com/

Train a computer to recognize your images, sounds, and poses. Use this resource to gain a better understanding.

[Teachable Machine](https://teachablemachine.withgoogle.com/)

We will create an machine learning model that can classify Arabic and English books. To collect, train, and test data, we will use Teachable Machine from Google.

a lot of places! but for a high schooler, better to focus at what you want to do first. or if you still haven't gotten any idea, try a simple explanation on what ml is without the math on youtube and tinker around a no code machine learning platform like https://teachablemachine.withgoogle.com/

Yes, APK from Github, or just connect your phone to the REV Hardware Client.

I think I just stumbled upon where the team got the IMU initialization from. Take a look at the sample code in https://github.com/FIRST-Tech-Challenge/FtcRobotController/blob/master/FtcRobotController/src/main/java/org/firstinspires/ftc/robotcontroller/external/samples/SensorBNO055IMU.java

You can read my testing notes here https://github.com/FIRST-Tech-Challenge/FtcRobotController/issues/317 but there is a way to make it slightly faster

Although written for Blocks, this tutorial can help new Java programmers too: https://github.com/FIRST-Tech-Challenge/FtcRobotController/wiki/Timers-in-FTC-Blocks

are you working from the FtcRobotController project? https://github.com/FIRST-Tech-Challenge/FtcRobotController

Here's a sample program that uses deadlines

https://github.com/FIRST-Tech-Challenge/FtcRobotController/wiki/Writing-an-I2C-Driver This is the core tutorial on i2c devices, although its a little out of date so YMMV. Some things like the constructor may need to be tweaked (I believe there is now a second parameter in the super?). However the core of it is still accurate.