Personalized AI Solutions for Supporting Communication Needs of Disabled Students

Communication barriers significantly impact the educational experiences and social integration of students with disabilities. Personalized artificial intelligence (AI) solutions offer a transformative approach to addressing these challenges by providing tailored support that adapts to individual needs. This paper explores the design, development, and application of AI-driven tools to support communication for disabled students, with a focus on augmentative and alternative communication (AAC) systems, speech recognition, natural language processing, and real-time adaptive interfaces. Through a review of current technologies and case studies, the research highlights the potential of AI to enhance both verbal and non-verbal communication, enabling more inclusive participation in educational settings. Key considerations such as user-centric design, ethical implications, and the integration of AI tools into existing educational frameworks are discussed. The findings underscore that personalized AI solutions can bridge critical gaps in communication, fostering greater autonomy, confidence, and academic success for students with disabilities. Future directions emphasize interdisciplinary collaboration and advancing AI models to ensure equitable and sustainable outcomes in inclusive education.