🤖 AI QA Engineer

AI QA Engineer is a web application that analyzes Python code using AI. It helps developers improve code quality by reviewing code, fixing bugs, explaining logic, generating test cases, and creating PDF reports.

---

🚀 Features

• 📊 Code Quality Score
• 📝 AI Code Review
• 🛠 AI Code Fix
• 💡 Code Explanation
• 🧪 Pytest Test Case Generator
• 📄 PDF Report Generation
• 📜 Analysis History
• 📂 Python File Upload Support

---

🛠 Tech Stack

Backend

• FastAPI
• Python
• Groq API

Frontend

• Streamlit
• Plotly

Other Libraries

• ReportLab
• Requests
• Pydantic

---

📂 Project Structure

AI_QA_Engineer/
│
├── agents/
├── dashboard/
├── models/
├── reports/
├── routers/
├── utils/
│
├── main.py
├── requirements.txt
├── README.md
└── .env

---

⚙️ Installation

Clone Repository

git clone <repository-url>
cd AI_QA_Engineer

Install Dependencies

pip install -r requirements.txt

Create Environment File

Create a .env file:

GROQ_API_KEY=your_api_key

---

▶️ Run Backend

uvicorn main:app --reload

Backend URL:

http://127.0.0.1:8000

---

▶️ Run Dashboard

streamlit run dashboard/app.py

Dashboard URL:

http://localhost:8501

---

📡 API Endpoints

Method	Endpoint	Description
POST	/quality-score	Analyze code quality
POST	/review	AI Code Review
POST	/fix-code	Fix Python Code
POST	/explain-code	Explain Code
POST	/generate-tests	Generate Pytest Cases
GET	/history	Analysis History

---

📸 Screenshots

Dashboard


Quality Score


AI Review


Fix Code


Explain Code


Generate Tests


---

🔮 Future Improvements

• GitHub Repository Analysis
• Multi-language Support
• Docker Deployment
• Authentication
• CI/CD Integration
• Team Collaboration

---

👨‍💻 Author

Harshvardhan Singh

B.Tech Data Science

BKBIET, Pilani

---

📜 License

This project is developed for educational purposes.