Inspiration

Healthcare QA teams spend weeks creating test cases manually for compliance with HIPAA, GDPR, FDA, and ISO standards.
This slows down innovation, increases costs, and risks missing critical compliance requirements.

We wanted to build a solution that saves time, ensures compliance, and improves patient safety.


What it does

AI TestOps Assistant automatically converts requirement documents into compliance-tagged test cases.

  • Upload a document (PDF/Word/Text)
  • AI generates test cases in seconds
  • Each test case is mapped to regulations (FDA, ISO, GDPR, HIPAA)
  • Provides a clear Requirement → Test Case → Regulation view
  • Allows a one-click mock export to Jira/Azure DevOps

How we built it

  • Frontend: React.js with Tailwind CSS for a clean dashboard
  • AI Layer: Google Gemini (Vertex AI) to analyze requirements and generate test cases
  • Cloud Services: Firebase Hosting for deployment, Firestore for storage
  • APIs: Cloud Vision API for text extraction, Agent Builder (future scope) for chatbot queries
  • Integrations: Mocked export to Jira/Azure DevOps

Challenges we ran into

  • Mapping healthcare requirements accurately to compliance standards
  • Designing a simple but professional UI in limited time
  • Mocking AI and toolchain integrations realistically for a prototype
  • Balancing a lightweight demo with a scalable architecture vision

Accomplishments that we're proud of

  • Built a working prototype that demonstrates the full flow: Upload → Generate → Compliance → Export
  • Created a compliance-first automation tool, unlike generic test automation products
  • Designed a scalable architecture using Google Cloud AI stack
  • Showed how test case generation time can be cut from weeks to minutes

What we learned

  • How AI can handle domain-heavy, compliance-driven requirements
  • The importance of traceability in regulated industries
  • How to design for both hackathon speed and enterprise scalability
  • How compliance-first automation can directly improve patient safety

What's next for AI TestOps Assistant

  • Add real Jira/Azure DevOps integration
  • Build a compliance traceability matrix with BigQuery storage
  • Develop an AI chatbot (Agent Builder) for auditors and QA teams
  • Expand beyond healthcare into banking, automotive, and other regulated industries
  • Scale the solution into a full SaaS platform

Built With

  • agent
  • bigquery
  • builder
  • cloud-vision-api
  • firebase-hosting
  • firestore
  • github
  • google-gemini-(vertex-ai)
  • node.js
  • react.js
  • tailwind-css
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