Core requirements : 1. The goal of this project is to build an AI-driven web accessibility auditing tool that automatically scans uploaded HTML pages, detects accessibility issues, and provides human-friendly explanations and recommended fixes. 2.The tool should help developers and content creators identify and resolve WCAG 2.1 / 2.2 compliance issues efficiently through an intelligent, easy-to-use interface. 3. Automatically analyze uploaded HTML based eLearning course package. 4. Classify issues by type, severity, and impact. 5. Use AI to generate plain-language explanations and fix recommendations. ________________________________________ Scope of work 1. Design a concise UI mockup for the dashboard. 2. Build the analyzer backend, integrate open-source accessibility libraries or custom ML where beneficial. 3. Connect scanner output to the dashboard, ensuring findings update automatically as each page finishes. 4. Package code, setup guide, and one-click deployment (Docker or similar). Input 1.User uploads HTML files for offline testing. AI Intelligence Layer After collecting issues, an AI model will: • Summarize issues in human-understandable form. • Explain impact on users (e.g., “Screen readers cannot detect this label”). • Suggest specific code or markup fixes. • Optionally detect missing alt text meaning using image captioning (e.g., BLIP or CLIP model). • Generate a severity-weighted score and WCAG 2.1 compliance summary (A / AA / AAA). b. Web Dashboard • Displays total issues. • Filter by severity, WCAG level, or issue category. • Issue details with AI-generated explanations. • Pointing the problem sections on the HTML pages 9. Success Criteria 1. Detects 90%+ of axe-core defined WCAG violations. 2. Provides accurate AI explanations with developer-friendly fixes. 11. Knowledge Transfer The vendor must be completely aware about these components better. So a detail walk through would be required at the end of the project with a clear documentation and user manual. If you have prior experience with accessibility tools, WCAG audits, or AI-based DOM analysis, I’d love to see a short example or Git repo link alongside your proposal.