<p>Cognitive disabilities significantly impact individuals' ability to navigate daily life, creating challenges in communication, memory, and task performance. This research proposes an AI-enhanced framework integrating neural network technologies and advanced natural language processing algorithms to support individuals with cognitive disabilities. The framework aims to enhance language understanding, memory retention, and overall task efficiency. Its validity is demonstrated through experiments and performance analysis using real-world datasets, showing marked improvements in language comprehension, memory recall, and task execution. Key factors influencing the model's effectiveness include the severity of cognitive impairments, individual cognitive profiles, and the adaptability of AI algorithms. The transformative potential of AI-driven interventions is highlighted, offering personalized, scalable solutions to meet diverse needs. This study contributes to ongoing discussions on leveraging technology to promote independence, inclusion, and quality of life for individuals with cognitive disabilities, laying the groundwork for future advancements in cognitive augmentation and assistive technologies.</p>