International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 6 Issue 6
November-December 2024
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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 |
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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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E-ISSN 2582-2160
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