Smart Knowledge Delivery System with Adaptive Accessibility Using Machine Learning

Ensuring accessible digital experiences for individuals with diverse abilities is critical in modern knowledge delivery systems. This research presents a Smart Knowledge Delivery System that employs machine learning techniques to dynamically personalize content and interface elements based on real-time user interaction. The system adjusts learning complexity through Virtual Labs, modifies content difficulty, and adapts the delivery mode using multi-language video conversion to meet individual accessibility requirements. By overcoming the limitations of static accessibility settings, the proposed approach creates a responsive, adaptive, and intelligent learning environment. The system aims to enhance usability, support personalized learning, and promote inclusive engagement across diverse user groups.