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
Team members
More cool Advanced programming projects
Face Mask Detector
Advanced programming
Zombie shooter game
Advanced programming
Computer Vision with Biometric Information for Engagement Detection in Virtual Learning
Advanced programming
