The world of computers may constantly improve in this period of contemporary applied sciences. Because it meets the demands of quadriplegics, Hands-free Computing has gained popularity recently. It demonstrates a human-computer interaction approach that is extremely beneficial to people with hand impairments. Our proposed system functions like a conventional computer mouse by translating eye motions such as winking and squinting in the direction of cursor activities. For implementing this system, an elementary webcam and software specifications such as Python, Numpy, OpenCV, and some more programmes needed for facial recognition are used. A linear classifier, a histogram of oriented gradients (HOG) feature, and a deep learning technique are used to construct the face detector. This system (PILOT) is finger-free and does not require any extra hardware or sensors.