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Predictive Analytics For Dyslexia: A Cloud Based Machine Learning Approach

Publicado
Servidor
Preprints.org
DOI
10.20944/preprints202511.1010.v1

Reading disability (known as Dyslexia) is a common problem faced by many children and younger people around the globe, the symptoms are not known to the people in the initial stage, the various levels of dyslexia affected people behavior and learning style are not common among the people. There are various ways used to predict Dyslexia symptoms and habits with the help of Machine Learning algorithms and Artificial Intelligence, but the complexity of generating the results from the processed data, storing and retrieving of the results is a challenging task, there are various research that is going on to overcome the problems. By leveraging cloud computing technologies, the data generated to predict the Dyslexia problem from various people are stored using Cloud storage services. The algorithms used on the same data produces different results and leads to the creation of new algorithms.

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