Tetraplegia, paralysis caused by illness or injury that results in the partial or total loss of use of all four limbs. People suffering from tetraplegia are not able to move and walk on their own. To perform even basic chores, they need to depend on others. The use of smart wheelchair can assist those as well as other disabled people to move around. The objective of this project is to propose and demonstrate through a prototype an eye driven wheelchair system where people are able to operate the wheelchair based on the eye movement. This proposed system can help physically handicapped people to be independent to some extent. In order to design the proposed system, the we use Haar Cascades Classifier (HCC) to detect the eye regions and the Circular Hough Transform (CHT) for Gaze Tracking. The (CHT) algorithm is used to detect circle, in which hough gradient method is used to detect the circle, after which a circle is created on each pixel of the edges of the detected circle. The region with a high concentration of pixel in the circle is determined as the center. Since the shape of an eyeball is same as a circle and the CHT algorithm has a high accuracy for detecting a circular object and their feature extraction, this algorithm is more appropriate and has been applied for gaze tracking in the proposed systems.