SUSTAINABLE TECHNOLOGY-ENHANCED LEARNING FOR LEARNERS WITH DYSLEXIA

Abstract

The rapid advancement of web technologies has significantly transformed modern education by enabling innovative accessibility solutions for diverse learners. However, most existing assistive tools for dyslexia are either limited to single functionalities or require costly subscriptions, making them inaccessible to a large population. To overcome these limitations, this project presents “DyslexEase”, a sustainable, AI-powered web-based platform designed to support individuals with dyslexia through an integrated and user-friendly interface. The proposed system combines multiple assistive features, including dyslexiafriendly text formatting, text-to-speech conversion, text-to-image visualization, and a customizable reading environment. By leveraging technologies such as HTML5, CSS3, JavaScript, and Python Flask, along with browser-based APIs like the Web Speech API and AI-driven image generation, the platform delivers realtime, accessible learning support. Users can input text, upload documents, or use OCR-based inputs to receive optimized outputs that enhance readability and comprehension. Unlike existing fragmented solutions, DyslexEase provides a unified platform that reduces cognitive load and improves learning efficiency. The system is designed as a progressive web application, ensuring accessibility across devices, including lowend smartphones. Additionally, it aligns with global sustainability goals such as Quality Education, Reduced Inequalities, and Good Health and Well-being. The proposed solution demonstrates how integrating artificial intelligence with accessible web design can bridge the gap between technology and neurodiversity. By offering a free, scalable, and inclusive learning tool, DyslexEase aims to improve literacy outcomes, support educators, and promote equitable access to education for individuals with dyslexia