ai-accessibility

A detailed educational article exploring how Streamlit revolutionizes AI app development. Learn how this Python framework bridges the gap between data science and usability, empowering anyone to deploy interactive machine learning models without front-end coding or complex infrastructure.

A comprehensive Swift package that enables AI-powered navigation and automation in SwiftUI applications. It combines traditional accessibility best practices with AI-specific enhancements, creating apps that are discoverable and navigable by both assistive technologies and AI agents

Accessibility runtime for streaming AI and agent interfaces—paced screen-reader announcements without rebuilding your UI.

A prompt-based communication adapter that makes AI interactions work better for neurodivergent users. Shifts the adaptation burden from the person to the AI.

Locally run multi-tier, multi-model, multi-modal, multi-mode Agentic AI Assistant Training/Inference Instance with CRAIID - Continuous Redundant AI Instance Dialogue - A proprietary personalized context/memory compression/storage/management subsystem designed to overcome ctx fatigue while maintaining accuracy, integrity & fidelity. And a lot more!

Human-adaptive accessibility framework exploring how AI and assistive technology can help people navigate digital and physical systems more independently.

Conversational resume builder (Saathi: Gemma 3 + Gemini 2.5 backup, no regex) with employer 9-agent screening pipeline and Bridge trust layer. WCAG 2.2 AAA. React 19, TypeScript, Firebase, Tailwind 4.

AI-native accessibility toolkit. WCAG audits, alt text generation, contrast detection, and auto-fix. The first open-source AI a11y toolkit.

A comprehensive Claude Code setup to make sure your web applications are accessible, as efortlessly as possible. Following WCAG 2.2 guidelines.

Product, Safety & Accessibility Proposals from a Non-Traditional Power User

Engaging Reader is a free open-source accessibility tool that makes reading documents easier for those with literacy, cognitive, or visual processing challenges

Exploring how user expertise framing affects AI response depth, specificity, and caution — a structured comparison of Claude Sonnet 4.6 and GPT 5.4 on regenerative agriculture questions