Leveraging AI Technologies for Personalized Learning Support in Dyslexic Students

Dyslexia, a prevalent learning difficulty affecting reading, writing, and spelling, requires specialized interventionsthat traditional educational systems often lack. This paper proposes an AI-assisted learning platform aimed at addressing the diverse needs of dyslexic students. The system first tests for dyslexia, classifying students into three zones—low, moderate, and high— based on severity. Using Natural language processing (NLP), Machine learning, speech-to-text (STT), and Text-to-speech (TTS) these are some of the AI technologies, the platform provides personalized learning practices tailored to each student's classification. Continuous assessment and real- time monitoring allow for dynamic adaptation of the learning process to accommodate individual progress, ensuring that interventions are both responsive and effective.