🤖 AI SQL Chatbot
An intelligent chatbot that translates natural language questions into SQL queries and retrieves results directly from a database.
🚀 Overview
The AI SQL Chatbot allows users to interact with databases using plain English. Instead of writing complex SQL queries, users can simply ask questions like:
"Show the directors name which start with the letter 'M'"
The chatbot understands the request, converts it into an SQL query, executes it, and returns the result.
✨ Features
🧠 Natural Language to SQL conversion
💬 Interactive chatbot interface
🗄️ Works with structured databases
⚡ Real-time query execution
🔍 Supports filtering, grouping, and pattern matching (LIKE, GROUP BY, etc.)
📊 Easy data exploration without SQL knowledge
🛠️ Tech Stack
Frontend: (e.g., HTML, CSS, JavaScript / React)
Backend: (e.g., Python / Node.js)
Database: (e.g., MySQL / PostgreSQL / SQLite)
AI Model: Natural Language Processing (NLP) model for query generation
📌 Example
User Input:
Show the directors name which start with the letter 'M'
Generated SQL Query:
SELECT director_name
FROM directors
WHERE director_name LIKE 'M%';
Output:
Martin Scorsese
Michael Bay
...
⚙️ Installation
Clone the repository:
git clone https://github.com/spqdot/AI-SQL-Chatbot.git
cd ai-sql-chatbot
Install dependencies:
pip install -r requirements.txt Configure database connection: Update your database credentials in the config file. Run the application: python app.py 🧪 Usage Start the chatbot Enter your question in plain English The bot will: Convert it to SQL Execute the query Display results 📂 Project Structure ai-sql-chatbot/ │── app.py │── requirements.txt │── database/ │── models/ │── static/ │── templates/ └── README.md 🔮 Future Improvements 🌍 Multi-language support 📈 Data visualization (charts & graphs) 🧩 Support for complex joins and subqueries 🔐 Authentication & user roles ☁️ Cloud deployment