Human-Computer Interaction prioritizes universally accessible systems, crucial for individuals with physical disabilities. This study introduces an Eyes as Interfaces: A Novel Eye-Tracking Mouse Cursor System, a hands-free solution enabling seamless digital environment interaction. For people those with paralysis, muscular dystrophy, or spinal injuries, this technology provides independent computing access, eliminating dependency on external assistance. A Convolutional Neural Network (CNN) is the system's backbone that provides real-time pupil detection, mapping eye gaze to exact cursor movement. Advanced image processing like this guarantees smooth operation regardless of changing lighting and user conditions. By accurately mapping eye movements to cursor actions, users can navigate and communicate with computer interfaces, opening avenues for information access, communication, and work participation. This encourages independence and enables users to access the web on their own, performing tasks like document creation and web navigation. Beyond personal benefits, this technology promotes inclusivity by bridging the digital divide, allowing for real-time, unrestricted participation in learning, employment, and social activities. Its smooth integration in widespread digital platforms ensures that it carries the highest level of potential in changing lives of people with mobility disabilities Worldwide.