Enhanced Accessibility System using Eye Gaze Tracking with AI Voice Guidance

Dharshika A

Department of Computer Science and Engineering Dr. M.G.R Educational and Research Institute,Chennai,India.

Dharshikaanbalagan74@gmail.com
Harini S

Department of Computer Science and Engineering Dr.M.G.R Educational and Research Institute,Chennai,India.

Harinikar01@gmail.com
Hemalatha P

Department of Computer Science and Engineering Dr.M.G.R Educational and Research Institute,Chennai,India.

Sandhiyaprakash133@gmail.com
M.Sruthi

Department of Computer Science and Engineering Dr. M.G.R Educational and Research Institute,Chennai,India.

sruthi.m0611@gmail.com
K.K.Rehkha

Department of Computer Science and Engineering  Dr.M.G.R Educational and Research Institute,Chennai,India

rekha.cse@drmgrdu.ac.in.
G.Victo Sudha George

Department of Computer Science and Engineering Dr. M.G.R Educational and Research Institute,Chennai,India.

victosudhageorge@drmgrdu.ac.in

Abstract—This work focuses on building an accessibility system that allows users to control a computer using only their eye movements. Instead of depending on traditional input devices like a mouse or keyboard, the system uses a webcam to track where the user is looking and converts it into actions such as cursor movement and clicking. To make the interaction easier, a voice guidance feature is also included, which provides feedback in real time. This helps users understand whether their actions are correctly detected. The system is designed to be simple, affordable, and useful, especially for people with physical disabilities. Initial testing shows that the system performs reliably and can be used for basic computer operations.