I prototyped a mind-controlled drone using a self-assembled 16-channel OpenBCI brain-computer interface (BCI) device and a Tobii eye tracker. A pre-trained machine learning Python script was used to analyze the continuous time-series brainwave data collected by the BCI, converting it into directional control signals transmitted to the drone’s control system to control its flight direction. The eye tracker was used to track the focus of the gaze on the video feed, triggering a signal to move the camera when the gaze is directed at a specific area, which is then sent to the drone’s control system to control the camera's orientation with the gaze. The combination of these two control systems resulted in a brain-controlled drone prototype that does not require hand operation. The video demonstrates the prototype using DJI’s flight simulation software for easier visualization.