AI Based Human Computer Interactions for Specially-Abled

Artificial intelligence (AI) plays a crucial role in supporting people with special needs. People who are blind, deaf, or possibly disabled require ongoing extra care and attention when it comes to education because they have difficulties with everything from keeping track of attendance to completing tests. They cannot use computers for their needs; hence, they are dependent on someone. The use of a computer requires physical contact or interaction, such as using a mouse, keyboard, or touch screen. We have created a touch less sketching interface utilizing the pattern recognition method to overcome these problems. In pattern recognition, machine learning algorithms are used to automatically identify patterns and regularities in data that is given as words, pictures, sounds, or other recognizable components. Others include a virtual mouse that may be operated with the eyeball for those who are unable to move their hands. To quantify eye movement, common eye tracking algorithms analyze the separation between infrared LEDs projected onto the eye and the pupil of the eye. The mediapipe framework, the tensorflow model, and the openCV library are required for these two algorithms, which enable blind individuals to hear news, music, and other information without having to browse the internet.