We use an EPOC X headset that detects electrical activity in the brain with 14 electrodes. The data from the headset is sent through a Bluetooth connection to a dedicated laptop that interprets the data using AI and divides it into 5 different motor commands - neutral, forwards, backwards, turn right, and turn left. To reduce false positives from the headset, we added noise reduction to our code, adding some latency but making for a much smoother ride. The laptop then runs a code to incrementally change two PWM signals for both wheels. The PWM signals are broadcasted over a private WiFi network hosted by a Raspberry Pi 3B on the wheelchair. The Pi outputs those signals through GPIO pins connected to a buck boost converter, changing the volts of the pulse from 3.3 to 5 before reaching our Talon SR motor controllers. From here, the motor controllers modify how much voltage goes to the motors, allowing for thoughts to turn into the physical movement of the wheelchair.