The project focused on methods for detection of dsylexia in children and how to treat this disorder using non-invasive methods. This was done through a gamified test that would expose vulnerabilities in a child's learning process. The data collected from the study was used to train an ensemble classifier, whose aim was to get maximum efficiency in training for every dataset that it worked with, combining the best results obtained to get the most efficient working model. The method to deliver treatment for this disorder was through non-invasive measures unlike the traditional ones that are operational today like the MRI, CT Scan, PET Scan, etc.