Contact person: Business Client

Phone:Show

Email:Show

Location: Chennai, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"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.

[login to view URL] 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.
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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
[login to view URL] 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." (client-provided description)