This document describes a brain-computer interface system to control an electric wheelchair. It discusses using EEG signals detected from the forehead to control the wheelchair's movement wirelessly through a Zigbee module. The system uses a PIC16F877A microcontroller for processing the EEG signals and controlling the motor driver and wireless transmission. It provides advantages of enabling disabled patients to control a wheelchair through thought but has disadvantages of the brain being complex and signals being weak and prone to interference. Potential applications are to help improve mobility for people with limited motor function.