Andy hooks up a USB Keyboard to a Microcontroller to see he can use machine learning to do a critique of his internet comments. Challenges included flashing the firmware of the FTDI module, analysis of USB Human Input Device (HID) data and running a machine learning algorithm on a 32bit Arm M0 core.
Supplemental Content:
- USB Keyboard / HID
- VNC2 - Getting to Blink
- SPI Slave on an Arduino MKR Zero
- Using a hash function Tokenization during Text Classification on memory constrained devices
Bill of Material:
| Product Name | Manufacturer | Quantity | Buy Kit |
|---|---|---|---|
| VNC2-48Q USB HOST Control | FTDI | 1 | Buy Now |
| VNC2 Debugger/Programmer | FTDI | 1 | Buy Now |
| Development Board, Arduino MKR Zero | ARDUINO | 1 | Buy Now |
| DC Servo Motor, 6 V | AdaFruit | 1 | Buy Now |
Additional Parts:
| Product Name |
|---|
|
Jumbo sized googlie eyes |
|
PETG 3D printer filament |
|
MDF board |
|
Paint |
Build an Anti-Troll Bot Using TensorFlow and Arduino
Top Comments
An interesting build.
I could be useful during those moments when your passion overwhelms your desire to restrain your comments.
DAB
Interesting application. I can think of a few people who could use one.
Nice to see TinyML in action.
Here's some of the reference material I used for those wanting to reproduce this experiment.