ISSN No:2250-3676 ----- Crossref DOI Prefix: 10.64771 ----- Impact Factor: 9.625
(Peer Reviewed, Referred & Indexed Journal)
SQL Query Generator: Natural Language To Optimized SQL Conversion Using AI-Assisted TechniquesID: 2539 Abstract :The Increasing Complexity Of Modern Database Systems And The Rapid Matches Human-level Correctness While Often Improving Efficiency Through Suggested Optimizations.This AI-driven Framework Holds Significant Implications For Database Accessibility, Enabling Non-technical Users To Interact With Relational Systems Without Prior SQL Expertise. Furthermore, The System Promotes Productivity For Database Administrators And Developers By Automating Routine Query Creation And Performance Refinement. The Proposed Architecture Is Modular, Scalable, And Capable Of Future Enhancements, Including Integration With Multiple LLMs, Adaptive Optimization Strategies, And Support For NoSQL Query Generation. |
Published:07-4-2026 Issue:Vol. 26 No. 4 (2026) Page Nos:1553-1562 Section:Articles License:This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. How to Cite |