🚀 AI Test Case Generator & API Validator

An AI-powered testing framework that generates and validates test cases for APIs using Large Language Models and automated execution.

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📌 Overview

This project explores the use of AI in software testing by automatically generating test cases and validating API endpoints. It combines AI-driven test generation with basic automation to simulate real-world QA workflows.

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✨ Features

• 🤖 AI-based test case generation using OpenAI API
• 🔍 Covers valid, invalid, and edge test cases
• 🌐 API testing using Python requests
• ⚙️ Automated validation of endpoints
• 🚀 FastAPI backend for interaction

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🛠️ Tech Stack

• Python
• FastAPI
• OpenAI API
• PyTest
• Requests

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📂 Project Structure

• app/generator.py → AI test case generation
• app/tester.py → API testing logic
• app/main.py → FastAPI app
• tests/ → Sample automated tests

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⚙️ How It Works

1. User provides input (API or description)
2. AI generates test cases
3. System validates API endpoints
4. Outputs results

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🚀 Getting Started

Install dependencies

pip install -r requirements.txt

Run server

uvicorn app.main:app --reload

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🧪 Run tests

pytest

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📊 Example

Input:

/predict API

Output:

• Valid input test
• Invalid input test
• Edge case test

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🎯 Use Cases

• AI-assisted QA workflows
• API validation
• Automated testing experiments

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🔮 Future Improvements

• Full automation framework
• CI/CD integration
• Advanced reporting

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👩‍💻 Author

Maitreyee Rane GitHub: https://github.com/MaitreyeeRane LinkedIn: https://www.linkedin.com/in/maitreyee-rane-ba93a22a4

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