Business Case: Automate SQL Queries and Explore Databases with Natural Language
Project Description:
A Python-powered interactive chat application that allows users to query a MySQL database using natural language. The system automatically generates SQL queries from user questions and summarizes results in clear, concise language. This project demonstrates advanced Python integration with databases and modern LLMs for data querying and summarization.
Key Features: Convert natural language questions into MySQL queries using LLMs (ChatGroq). Automatically fetch and display query results from MySQL. Summarizes database results into easy-to-understand responses.
Tech Stack & Libraries: Python MySQL (mysql-connector-python) Streamlit for UI LangChain, LangChain Community Utilities, and ChatGroq for LLM-driven query generation dotenv for secure environment management
Project Details:
Uses LLMs to generate accurate SQL queries based on natural language questions. Provides an interactive interface to explore databases without writing SQL manually. Ideal for learning database integration, LLM applications, and Python web apps.
screenshot of the project :
