International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.

QueryAI: A Conversational Interface for SQL Database Querying Using Natural Language Processing

Author(s) Priyanka Arya, Prachi Shrivas, Priyal Porwal, Reeshita Nigam, P.Kartik Naidu
Country India
Abstract QueryAI is an interface leveraging natural language for SQL database querying. By incorporating large language models (LLMs) and natural language processing (NLP) techniques, QueryAI enables users to query a MySQL database using English-based commands. This interface translates user inputs into SQL statements and presents the outcomes, offering access to those without SQL proficiency. This paper explores QueryAI's design, implementation, and potential applications in data analysis and business intelligence.
Keywords Language Processing, SQL Database Querying, Large Language Models (LLMs), MySQL Integration, Conversational Database Interface
Field Engineering
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-11-16
Cite This QueryAI: A Conversational Interface for SQL Database Querying Using Natural Language Processing - Priyanka Arya, Prachi Shrivas, Priyal Porwal, Reeshita Nigam, P.Kartik Naidu - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.30595
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.30595
Short DOI https://doi.org/g8rd3j

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