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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM57427

AI Chatbot:For MYSQL Database Using Streamlit

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM57427

Volume:

10 |

3 |

Mar 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM57427

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PJk

Prof. Jagriti kumari

MK

Mallamgari Kavya

GV

Geega Vidya

RM

Ragi Meghana

NL

Nemalipuri Likhitha

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Abstract

This project presents the design and development of an AI-based chatbot for interacting with MySQL databases using natural language. The system is developed using Python and Streamlit to provide a simple and user-friendly interface. It uses artificial intelligence models to understand user queries and convert them into SQL commands automatically. This helps users retrieve information from the database without having technical knowledge of SQL. Data preprocessing techniques such as cleaning and normalization are applied to improve the accuracy of responses. The proposed system reduces manual effort, saves time, and improves accessibility for non-technical users. Experimental results show that the chatbot provides fast and reliable responses for small and medium sized databases. The system can be further enhanced by adding advanced security features and multi-language support in the future.

KEYWORDS

Artificial Intelligence Chatbot Natural Language Processing MySQL Streamlit SQL Query Generation.

Cite This Article

Prof. Jagriti kumari, Mallamgari Kavya, Geega Vidya, Ragi Meghana, Nemalipuri Likhitha, "AI Chatbot:For MYSQL Database Using Streamlit," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 3, Mar 2026. https://doi.org/10.55041/IJSREM57427

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Publication Date

11/2/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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