This project aims to develop a basic Electroencephalogram (EEG) system capable of measuring the magnitude of human brainwave frequencies using sensors embedded in a wearable hat or helmet. A system of digital and analog filters will refine the data received from the sensors, filtering out noise and amplifying the desired brainwave frequencies to indicate the user’s level of concentration. The user will complete a series of non-subjective tasks, such as deep breathing, listening to music, and performing mathematical operations, to determine if the user is in a focused state based on recorded brain activity. If the system detects that the user is focused, a remote controlled device will turn on. We believe there is a significant market interest in these brain-operated devices, as they improve accessibility and quality of life for those with motor disabilities. After working through signal filtering and design challenges, our team was able to produce a fully integrated signal processing PCB and an additional screen, making real-time data analysis more accessible for users. Future steps for improvement include integrating more electrode channels to increase the integrity of the data collected, controlling a motorized wheelchair as opposed to a remote controlled device, and implementing speed control as opposed to a binary on/off switch.