Eyeball Cursor Movement using Deep Learning

Since its inception, computers have developed to the point that we may use them wirelessly, remotely, and in a variety of other ways. Nevertheless, these innovations are only for those who are physically fit and without physical disabilities. Other methods are needed to make computers more usable and accessible for those with physical disabilities. We have created a system that uses eyeball movement instead of the traditional manner of pointer movement with a mouse in order to create an environment that is fair to everyone who is capable of it. This will make it easier for those who suffer from physical conditions to use computers, advancing knowledge and technology. In this system, the laptop camera is used to take the pictures, which are then used to recognise the eyeball positions and movements using face indexing, as well as to conduct the actions that a real mouse could carry out using OpenCV. Because there are no pre-installations needed, this project is economical. Those who are paralysed and others with special needs may benefit from this.