Dyslexia is a neurological disability that affects reading, spelling and language related learning.

About 10 to 15% of the population is believed to be Dyslexic. People with Dyslexia are often perceived to be dull or lazy. On the contrary many famous inventors and scientists are believed to have been Dyslexic. People with Dyslexia are considered to be natural problem solvers and inventors. Early detection and intervention are crucial in tapping their full potential. The present testing processes are not standardized and is time consuming. We have developed a technology enabled screening tool based on gaze pattern analysis. We use a non- intrusive wearable eye tracking device to capture gaze data, a laptop stores the data. A smart IOT enabled screen or TV screen is used to calibrate the eyes and to project age and grade appropriate text

which is read aloud by the child. Markers are extracted from the gaze data, and this is analyzed using machine learning algorithms. Multiple visualizations are also used for human interpretation, verification and correlation to arrive at the risk level of each child. This is an easier and faster screening method and is the best tool for class-wide screening as mandated by the RPWD Act This is age and language specific. The Rights to Persons with Disabilities Act 2016 talks about screening all children before the age of 9.This creates the need for a tech-enabled, standardized early screening tool. We use a globally recognized method of screening and offer the best solution for class-wide screening. Dyslexia is fundamentally a language-based learning disability, our results suggest that eye movements in reading can be highly predictive of individual reading ability and that eye tracking can be an efficient means to identify children at risk of long-term reading difficulties at an early age. This will help in early intervention and saves early crucial learning years and will lead to better learning and success in life.