The prevalence of children with mental disorders such as Dyslexia, Autism and Attention Deficit Hyperactivity Disorder (ADHD) are drastically increased. The transformative potential of Artificial Intelligence (AI) especially in diagnosis for early treatment and enhancing educational outcomes has been extensively explored in order to provide better life for these particular children. These solutions include personalized learning systems, real-time feedback tools, and AI-driven assistive technologies, demonstrating their effectiveness through various case studies. The best AI methods have been evaluated through detailed case studies, showcasing successful various applications of AI such as reading and writing aids for Dyslexia, social interaction tools for Autism and real-time engagement tools for ADHD. These tools provide customized support, enhance engagement, and overcome the limitation on traditional educational approach. Also, the importance of AI in personalizing education, supporting teachers, and promoting inclusivity has been emphasized. Future research directions have been identified, including expanding the scope of AI applications, fostering interdisciplinary collaborations, addressing challenge in ethical issues, developing AI literacy, conducting longitudinal studies, and exploring innovative pedagogies. Innovative AI solutions have been discussed, focusing on adaptive learning platforms and AI tools tailored for specific disabilities. The integration of AI in education promises to create more inclusive, effective, and responsive learning environments, ultimately improving educational outcomes for all students with mental disabilities, promoting a better life for them especially in potential based career management. 

Associate Professor Technologist Dr. Abdul Nasir Abd. Ghafar received the B.Sc. in Electrical and Electronics System Engineering, Master in Electronics System and PhD in Systems Engineering from Okayama University of Science, Japan in 2011, 2013 and 2016 respectively. He is currently a Senior Lecturer, Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA), Malaysia. His research interest includes applied electronics, embedded system, optimization and simulation, artificial intelligence, robotics, and rehabilitation devices. The author has teaching experience in undergraduate fields of Electrical and Electronics Engineering for 10 years and supervised postgraduate students in both Master and PhD levels.