Abstract: There is undoubtedly room for improvement in the realm of recruiting given modern technological breakthroughs in this electronic age. Today, hands-free enrollment is well known for monitoring the requirements for quadriplegics. The Human PC Cooperation (HCI) system is presented in this study as a fundamental tool for people with disabilities and those who abhor using their hands. The created system is an eye-based interface that functions maybe as a computer mouse to decipher eye enhancements like flashing, staring, and squinting toward mouse cursor activities. The system under discussion makes use of a necessary webcam, and its item requirements include Python (3.6), OpenCv, numpy, and two or three different packs that are crucial for face verification. The HOG (Histogram of organised Gradients) include near to a straight classifier, or substantial learning estimates (cnn) and the sliding window process, can be used to create the face finder. There are no hands needed, and no additional equipment or sensors are needed.
Keywords: Human Computer Interaction [HCI], Convolutional Neural Networks [CNN], Histogram Of Oriented Gradients [HOG].