The problem Dys-No-lexia solves

In this project, we are making predictions using Machine Learning, on the basis of quiz scores of a person to see whether they have Dyslexia. In our dataset, we have the columns ‘Language_vocab’, ‘Memory’, ‘Speed’, ‘Visual_discrimination’, ‘Audio_Discrimination’, ‘Survey_Score’ and ‘Label’. Every applicant is required to take a quiz which has different questions to test language vocabulary, memory, speed, visual discrimination and audio discrimination. On the basis of their answers of these questions, points for each section are calculated and put into the first five columns of the dataset, respectively.

Challenges we ran into

-> There are a series of questions that need to be answered by the user, and on the basis of the results, scores are given for language, memory, speed, visual and audio skills.
-> The objective of this model is to give an accurate prediction of the chances of the user having dyslexia, using the above scores as input.