Dream– Dyslexia Recognition and Early Assessment Module

Abstract

The early detection of learning disabilities such as dyslexia, dyscalculia and dysgraphia are crucial for providing timely intervention and support to children at a very young age. Identifying these disabilities at an early stage can significantly improve a child’s academic performance and overall development. However, traditional methods of detection often require specialized expertise, time, and resources, making them inaccessible to many parents and educators. To address this challenge, we developed a framework named as Dyslexia Recognition and Early Assessment Module (DREAM) to streamline the detection process through interactive and technology-driven assessment modules. DREAM provides a secure login and registration system, ensuring that only parents and teachers can access the platform. Upon reaching the main menu there are three distinct detection modules: Dyscalculia Detection, Dysgraphia Detection and Dyslexia Detection. The Dyscalculia Detection module employs a quiz-style assessment powered by Machine learning (ML) algorithms to analyse the likelihood of difficulties in the child’s mathematical skills or abilities. The Dysgraphia Detection module leverages Convolutional Neural Network (CNN) of Deep Learning (DL) to assess the child’s handwriting based on their writing styles and word formation. The Dyslexia Detection module is an interactive game that comprises of four levels – Sight Words, Audio Detection, Colour and Letter Sequence and Phonics Reading – each are tailored to evaluate specific cognitive and linguistic skills. In addition to detection modules, DREAM provides profile section where parents or teachers can view detailed reports of their child’s performance along with suggestions on how they can improve their child’s performance, modify details and access help resources. DREAM is built using Flutter, Python and Firebase, enabling efficient data processing, report generation, and secure storage of user information. By integrating advanced machine learning and deep learning techniques, it provides accurate and insightful assessments, making it a valuable tool for parents and educators.