An AI-powered QA analysis tool that transforms raw feature requirements into structured test artifacts — test cases, gap reports, risk assessments, test data specs, non-functional checks, and coverage matrices.

Built to speed up QA analysis by transforming raw requirements into structured test artifacts using ISTQB-informed logic and AI-assisted generation.

Helps reduce manual analysis time, identify requirement gaps earlier, improve test coverage, and standardize test design outputs.

Designed prompts, implemented full-stack app flow, structured output schema, built export-to-Excel logic, and created premium analysis sections for risks, test data, and non-functional checks.

AI output still requires QA review.

• Export to Excel — Download the full test suite as a formatted .xlsx file
• Requirement Type Support — Web, Mobile, API, Admin
• Basic Mode — Generates a structured set of test cases from a requirement
• Premium Mode — Full QA analysis suite including:
  • Test Cases (with preconditions, steps, expected results, regression notes)
  • Gap Detection (missing or ambiguous requirement details)
  • Clarification Questions (open questions to raise with stakeholders)
  • Risk Assessment (high/medium/low risk items with recommendations)
  • Test Data Specifications (valid and invalid data sets per field)
  • Non-Functional Tests (performance, security, accessibility, usability, reliability)
  • Coverage Matrix (feature area coverage overview)
  • Feature Analysis — At-a-glance summary panel displayed alongside premium results, including:
  • Total test case count
  • Gap count
  • Clarification question count
  • Risk count (with high/medium/low breakdown)
  • Review Summary — overall quality assessment of the requirement (tone: positive / neutral / warning) with a short insight
  • Attention Points — auto-detected warnings about requirement completeness, boundary coverage, and risk exposure

Positive	Neutral	Warning

Basic	Premium

qa-ai-generator/
├── backend/
│   └── src/
│       ├── index.js                  # Express server entry point
│       ├── routes/
│       │   ├── testCaseRoutes.js     # /api/generate-basic, /api/generate-premium
│       │   └── exportRoutes.js       # /api/export-excel
│       ├── services/
│       │   └── aiService.js          # OpenAI integration
│       └── prompts/
│           ├── generateTestCasesPrompt.js
│           ├── detectGapsPrompt.js
│           ├── generateRisksPrompt.js
│           ├── generateTestDataPrompt.js
│           ├── generateNonFunctionalTestsPrompt.js
│           └── generateCoverageMatrixPrompt.js
└── frontend/
    └── src/
        ├── App.jsx                   # Main app logic and state
        ├── api.js                    # Axios instance
        └── components/               # UI components

• Node.js >= 18
• An OpenAI API key

# Clone the repo
git clone <your-repo-url>
cd qa-ai-generator

# Install backend dependencies
cd backend && npm install

# Install frontend dependencies
cd ../frontend && npm install

Create a .env file inside the backend/ directory:

OPENAI_API_KEY=your_openai_api_key_here

# Start the backend (from /backend)
npm run dev

# Start the frontend (from /frontend)
npm run dev

The frontend runs on http://localhost:5173 and the backend on http://localhost:3001.

{
  "requirement": "string", // required
  "requirementType": "web | mobile | api | admin" // optional
}

1. Paste your feature requirement into the text area
2. Select the Requirement Type (Web / Mobile / API / Admin)
3. Select the Mode (Basic or Premium)
4. Click Generate Preview to see the full analysis
5. Click Download Excel to export the test suite