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- Overdue by 7 month(s)•Due by July 3, 2025•1/8 issues closed
The AI-Powered Accessibility Testing Tool leverages advanced AI technologies to provide intelligent, context-aware analysis of web pages, mobile interfaces, and digital documents for accessibility compliance. How It Works: Input Submission: Users provide a webpage URL, HTML content, or document for analysis. AI-Driven Analysis: The tool uses Natural Language Processing (NLP) and Computer Vision models to detect nuanced accessibility issues, such as: Color Contrast Analysis: Ensures sufficient contrast between text and background using luminance calculations. Screen Reader Compatibility: Evaluates ARIA attributes, semantic HTML, and labels for screen reader accessibility. Readability and Cognitive Accessibility: Analyzes text complexity and clarity to support neurodivergent users. Issue Categorization: Detected issues are categorized into errors, warnings, and notices, with actionable insights and recommendations. Interactive Feedback: The tool provides intelligent suggestions, simulates user experiences (especially for users with disabilities), and highlights problematic elements visually. Report Generation: AI-powered insights are compiled into detailed reports, including WCAG references, affected elements, and improvement suggestions. Reports can be exported in multiple formats (CSV, HTML, PDF). This tool goes beyond rule-based engines by using AI to detect complex accessibility barriers, offering developers and testers actionable insights to create inclusive digital experiences.
Overdue by 7 month(s)•Due by July 1, 2025•1/8 issues closedThe Automated Accessibility Testing Tool is designed to evaluate web pages for accessibility compliance using open-source libraries like Pa11y and axe-core. How It Works: Input Submission: Users provide a webpage URL or HTML content through the tool's interface. Backend Analysis: The tool fetches the webpage content using mocking tools like Puppeteer or Playwright and analyzes it using Pa11y and axe-core libraries. Issue Detection: Accessibility issues are automatically identified and categorized into errors, warnings, and notices based on WCAG guidelines. Highlighting Issues: The tool visually highlights problematic elements on the webpage, such as missing alt text, improper ARIA labels, or color contrast violations. Report Generation: A detailed report is generated, outlining detected issues, WCAG references, and suggested fixes. Reports can be exported in formats like CSV, HTML, or PDF. This tool streamlines accessibility testing, making it faster and more efficient for developers and QA testers to ensure compliance with accessibility standards.
Overdue by 7 month(s)•Due by June 30, 2025•5/6 issues closedThis milestone marks the successful setup of core functionalities for manual accessibility testing in the web application. It includes: >Integration of a WCAG compliance testing tool supporting levels A, AA, and AAA. >Development of comprehensive documentation for WCAG compliance procedures and guidelines. >Establishing a seamless connection between the frontend and backend to enable manual testing workflows. >Implementation of automated report generation, summarizing accessibility issues and WCAG level adherence. --------------------------------------------------------------------------------------------------------------------------------- This foundation will support testers and developers in identifying, tracking, and resolving accessibility issues manually, in alignment with international web accessibility standards.
Overdue by 8 month(s)•Due by June 7, 2025•5/6 issues closed