This project is an AI-powered SQL assistant that helps users debug SQL queries, understand errors, and learn SQL concepts interactively.
It acts as both:
- 🔍 A Query Debugger (fixes incorrect SQL queries)
- 📚 A SQL Tutor (explains queries and concepts in simple terms)
- Detect and correct SQL query errors
- Explain SQL queries in natural language
- Assist beginners in learning SQL concepts
- Provide intelligent suggestions using AI models
- ✅ SQL Query Debugging
- ✅ Natural Language to SQL Explanation
- ✅ Error Detection & Correction
- ✅ Beginner-Friendly Explanations
- ✅ AI-powered interaction
- User inputs an SQL query
- System analyzes syntax and logic
- AI model identifies errors and suggests fixes
- Generates corrected query + explanation
ai-sql-debugger/
│
├── main.py # Entry point
├── utils.py # Helper functions
├── requirements.txt # Dependencies
├── .env.example # Sample environment variables
├── .gitignore # Ignored files
└── README.md
Create a .env file and add:
OPENAI_API_KEY=your_api_key_here.env is ignored for security reasons.
git clone https://github.com/your-username/sql-tutor-and-query-debugger.git
cd sql-tutor-and-query-debugger
pip install -r requirements.txt
python main.py
- Python
- SQL
- Natural Language Processing (NLP)
- AI / LLM Integration
- Students learning SQL
- Data Analysts debugging queries
- Interview preparation
- Automated query validation systems
- 🌐 Web-based UI (Streamlit / Chainlit)
- 📊 Query performance optimization suggestions
- 🗄️ Database integration (PostgreSQL / MySQL)
- 📈 Query history & analytics dashboard
Soumya Ramchandran Aspiring Data Analyst | AI & BI Enthusiast
If you found this project useful, consider giving it a star ⭐