Computers and technology play a very important role in human lives. Even though this statement is true, one can come in to a conclusion that there are many parts in the medical factor which are left untouched. The reason behind this is that each day various types of diseases that affect the human are found out. Dyslexia and dysgraphia have become trending disorders these days. It was found that 1 out of 10 people are having dyslexia adding up to 700 million people worldwide. 5-20 percent of people are facing problems with their handwriting mainly due to dysgraphia. People also have primary dyslexia which is caused from inheritance from their parents. The only treatment found out for patients diagnosed with dyslexia and dysgraphia are making them practice reading and writing until they reach a level fluency and accuracy. These patients face a lot of difficulties and obstacles such as channeling health professionals which can be very costly. Introducing a mobile application known as “The CURE” which helps the patients to practice reading and writing on their own. This paper describes about the system which helps to identify and evaluate whether a normal person is having dyslexia and dysgraphia and if so to help them to practice reading and letter writing. Two machine learning models are trained for two different data sets to increase the accuracy and reliability of the system. One model will be used to identify the words that are spelled out by the dyslexic patient and the other to identify the characters written by the patient diagnosed with dysgraphia. The application is built in an interactive manner to keep the user interested with the system. With implementation of “The CURE” the number of patients diagnosed with dyslexia and dysgraphia will reduce drastically with minimum assistance from health professionals.