Web accessibility remains a critical challenge, especially for individuals with disabilities, as most web content is designed without comprehensive adherence to accessibility standards. Current accessibility solutions are limited, relying heavily on the voluntary incorporation of specific design and coding standards during web page development. This paper introduces a novel application of artificial intelligence, specifically through the use of Large Language Models (LLMs), to address these challenges. By enabling LLMs to analyze and adaptively modify web page source code, our approach allows for the dynamic standardization of web pages to incorporate user-controllable accessibility features such as text resizing, color contrast adjustments, and font changes. Through the Adaptive User Interface Framework (AUIF), our system adapts digital content in real-time, responding to individual user behaviors and preferences, thereby setting a new standard for accessible user experiences across various digital platforms.