Volume 2 - Issue 3, May - June 2026

The growth of data in organizations has increased the need for smart systems that make it easy for non-technical users to interact with databases. Traditional database querying requires knowledge of Structured Query Language (SQL), which can be difficult for beginners and non-programmers. This paper presents an AI-powered Multi-Database SQL Chatbot that allows users to interact with databases using natural language queries and voice commands. The proposed system combines Large Language Models (LLMs), speech recognition, text-to-speech functionality, and database management technologies to create an intelligent and user-friendly platform. The chatbot supports both MySQL and SQLite databases and automatically converts user questions into executable SQL queries. The system also provides query execution results, schema visualization, and voice-based communication. Using this solution improves accessibility, reduces query complexity, and enhances the overall user experience in database management systems.

Subikson M, Prem Kumar A, Zameer Ahmed F,"AI-Powered SQL Database Chatbot Using AI and NLP" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(3): Page(288-291) May-June 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.