Natural-Language-to-SQL-Query-Generation-Using-Transformer-Architecture-

🧠 Natural Language to SQL Query Generator

A Transformer-based system that converts natural language into SQL queries and provides intuitive data visualizations using an interactive GUI. This project simplifies data interaction for non-technical users by bridging the gap between human language and database systems.

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✨ Features

• 🗣️ Natural Language to SQL Translation using Transformer models (T5, BERT, or GPT).
• 📊 Dynamic Chart Visualization: Bar, Line, Scatter, Pie, and Histogram via GUI.
• 📚 Support for Complex Queries.
• ⚡ Minimized Dependency on IT Teams.

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🏗️ System Architecture

• Transformer-based model for query understanding
• SQL generation using fine-tuned models
• GUI for data interaction and chart creation
• Backend using Python, Pandas, and Matplotlib

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📸 GUI Preview

The visualization_page.py enables the user to:

• Choose chart types
• Select X and Y columns
• Instantly visualize database tables

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💡 Applications

• Business intelligence tools
• Education platforms to teach SQL
• Analytics for enterprises
• Automated reporting systems

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🧰 Requirements

Programming

• Python 3.8+
• Jupyter Notebook or VS Code

Libraries

• transformers (OpenAI or Hugging Face)
• spaCy, NLTK
• pandas, matplotlib, sqlalchemy
• tkinter

Datasets

• Spider
• WikiSQL

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