Using Machine Learning To Mind Control A Flamethrower

The Project

I built a mind-controlled flamethrower that uses a TensorFlow Lite model with raw data from an EEG. The model was trained on my own brain data and had an accuracy of 80%. I used it to control a flamethrower, but the same technology could be repurposed for any computer interface.


About the team

  • United States

Team members

  • Nathaniel