Leveraging cutting-edge eye-tracking technology and machine learning algorithms, a real-time, non-invasive solution that empowers individuals with motor disabilities, allowing them to communicate seamlessly through natural eye movements. The project encompasses a comprehensive pipeline, starting with the collection of precise eye movement data using state-of-the-art eye-tracking hardware. It employs sophisticated image processing techniques to preprocess the acquired data, filtering out noise and detecting blink patterns accurately. This computer vision project not only showcases the potential of eye blink detection for text-based communication but also highlights the importance of innovative solutions that empower individuals with physical limitations to interact with technology effortlessly. Our recommended approach is continually used to test the effects of light and the distance between a user's eyes and a mobile device to assess the exact position, according to test results, offers 90% general exactness and 100% recognition accuracy for a distance of 15 cm with a false light.