The AI-Powered Semantic Web Repairer
AccessiCore is an open-source browser extension that bridges the "Accessibility Gap." By using a Local Small Language Model (SLM), it re-indexes poorly designed, non-compliant websites in real-time, providing a conversational interface and automatic ARIA-label "repairs" for the visually impaired.
Despite the Web Content Accessibility Guidelines (WCAG), millions of essential websites—government portals, legacy forums, and small business sites—remain inaccessible.
Broken Layouts: Standard screen readers get lost in "Div-soup."
Missing Context: Images without alt tags and buttons without ARIA labels make navigation impossible.
Information Overload: Users have to listen to 10 minutes of headers just to find one "Submit" button.
AccessiCore doesn't just read the code; it understands the intent. By running a quantized SLM directly in the browser via WebGPU, it creates a "Semantic Map" of the page, allowing users to interact with any website through a natural language, voice-first interface.
The extension parses the active DOM and converts complex structures into a simplified, hierarchical JSON map that the AI can interpret instantly.
Users can press a hotkey and ask questions like:
"Where is the registration form?"
"What are the eligibility requirements mentioned on this page?"
"Submit this form using my saved profile."
The local vision-capable model identifies icons and unlabeled buttons, automatically injecting proper aria-label and alt attributes into the live DOM before the screen reader reaches them.
No data ever leaves the user's machine. All processing is done locally using Transformers.js and WebLLM, ensuring that sensitive data on government or banking portals remains private.