In this paper, a brain controlled wheelchair has been designed which tends to reduce the complexity of movement for
paralyzed people who are not capable of using various wheelchairs operating on technologies like joystick, finger movement or
gesture controlled due to disability of moving body parts. The entire model is centrally based on Brain-computer Interface (BCI)
combined with Raspberry Pi 3 and EEG sensor headset capture signals based on Neurosky mindwave technology which are
further processed using MATLAB.