Framework for Dyslexia assessment, identification, analysis and personalized learning aid for Children

Dyslexia is a widespread learning disability, unnoticed and undiagnosed, starting from a child’s educational journey, leading to significant challenges in developing literacy skills. Seizing the efficiency of machine intelligence methods and machine intelligence approaches, the research has produced forward a skeletal outline for early disease, labeling and analysis of dyslexia injured infants through a systematic test of all-inclusive and concerning qualities not quantities factors in the way that education, writing, thinking and resolving attitude patterns with the help of various acting metrics. Discovering the dyslexia that can be used for implementing and adjusting the learning policies required to train each individual that facilities learning. The System has been developed has the significance of continuing privacy, attainable bias in Artificial Intelligence models, and demands mutual efforts of accompanying doctors accompanying coaches and software specialists from childhood through pre adulthood to effectively unify of the form into study hall environments. The rising demand contributes to the increasing machine-readable data within system of AI -automated teaching aids, advocating for effective resolutions that determine the required support for teenagers with dyslexia.