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AI-Powered QA Automation Suite
My role: Senior QA Automation Engineer (Lead)
Project description:
AI-Powered QA Test Case Generator & Execution Dashboard is a comprehensive, enterprise-level quality assurance solution designed to bridge the gap between AI-driven test generation and robust execution reporting. The suite provides a full-cycle automation workflow: from creating test cases using GPT-4 from natural language user stories to executing them across API and UI layers, finishing with high-impact business metric analysis.
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Connect with clients, get discovered, and run your business 100% commission-free
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AI Impact Score is a minimal interactive tool that clarifies how automation may influence your role.
Instead of dramatizing AI disruption, it translates uncertainty into structure through a weighted score, pillar breakdowns, and strategic action paths.
The design is restrained: dark interface, circular score ring, horizontal pillars, and narrative reasoning.
Built in Figma Make as a focused exploration of how interaction design can reduce anxiety by increasing clarity.
Live link:
https://map-disk-59742680.figma.site
https://context-engine.figma.site/
Context engine helps you create a context document for your ai tools to ensure actionable, impactful and relevant outputs.
I built UXRay AI for #figmamakeathon with one simple goal:
Help small and medium businesses get structured UX insights in under 60 seconds.
🚀 Instead of expensive audits or guesswork, users can:
• Enter a website URL
• Let AI analyze UX & UI quality
• Receive a clear, actionable report with priority issues
🚀 UXRay AI evaluates:
• Visual hierarchy
• Accessibility
• Conversion friction
• UI consistency
• Mobile responsiveness
As someone who has worked on SaaS, ERP, and fintech products, I’ve seen how long UX audits can take. UXRay AI is my experiment to make UX intelligence 🔥 more accessible and scalable.
🔗 Try it here: https://uxaudit-byai.figma.site/
Feedback is highly appreciated!
#UXDesign #AI #SaaS #ProductDesign #FigmaMake #FigmaMakeathon
Love the “structured insights in under 60 seconds” positioning — speed is a strong wedge for SMBs.
Curious — are you optimizing more for diagnostic depth or clarity of actionability in the output?
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