Lurnix: An Intelligent Ecosystem for Neurodiverse Learning through AI and Multimodal Content

Traditional education systems are text-based and not designed to cater to the needs of neurodiverse students, such as dyslexic, ADHD, and autism spectrum disorder students. This results in reduced comprehension, greater cognitive load, disengagement, and ultimately unequal learning results. Current digital learning technologies lack personalization and seldom consider multimodal accessibility, hence an essential gap in inclusive learning. To address this challenge, Lurnix offers an AI-powered learning platform that decomposes complex academic content and delivers it in various modes-images, audio reads, and native-language rendering. Its modular structure combines a Natural Language Processing-enabled Content Simplifier, a Multimodal Converter, a Personalization Engine, and an Analytics Dashboard through which teachers can monitor learner progress in real time. A pilot with neurodiverse students showed significant improvements in comprehension and interest relative to conventional text-based methods. The article details the problem space identified, system architecture, methodology, and evaluation criteria, and concludes with directions for future work to scale up accessibility with immersive and assistive technologies.