AI-Powered Adaptive Interfaces and SEO-Enhanced Accessibility Solutions Revolutionizing Real-Time Web Applications in Foldable and Multi-Screen Contexts

The proliferation of foldable smartphones, such as the Samsung Galaxy Z Fold series, and multi-screen workstations introduces unprecedented challenges for web services, including erratic aspect ratios, hinge-induced layout shifts, and the need for seamless real-time interactions like collaborative editing or live streaming. Conventional responsive design, reliant on static media queries, proves inadequate in these environments, often resulting in high Cumulative Layout Shift (CLS) scores and accessibility gaps. This whitepaper proposes an AI-driven framework that leverages convolutional neural networks (CNNs) for anticipatory viewport prediction analysing hinge angles, gyroscopic data, and user gaze from device sensors to pre-emptively reconfigure CSS Grid and Flexbox layouts with sub-100ms latency via edge-computing pipelines and WebSocket streams.Complementing this, a reinforcement learning (RL)-powered personalization engine models behavioural patterns (e.g., scroll heatmaps, dwell times) to optimize content prioritization, while an SEO-accessibility module employs natural language processing (NLP) for dynamic ARIA attribute generation, alt-text synthesis, and WCAG-compliant contrast adjustments, alongside schema.org markup for enhanced crawlability. Implemented as modular WebAssembly agents with backend Kubernetes orchestration, the system was rigorously benchmarked on emulators and physical devices like the Microsoft Surface Duo, yielding a 62% CLS reduction (from 0.28 to 0.07), 98% WCAG 2.2 compliance, and 40% SEO traffic uplift through richer SERP features. These advancements not only elevate Core Web Vitals (LCP under 1.2s) but also foster equitable user experiences across diverse hardware, providing developers with a scalable blueprint for future-proof real-time web ecosystems that balance performance, inclusivity, and discoverability.