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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM52436

Financial Chatbot

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM52436

Volume:

9 |

9 |

Sep 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

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

HR1

HARSHAVARDHAN R 1

PAGV2

Prof. A G VISHVANATH 2

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Abstract

The Financial Chatbot is an intelligent conversational system designed to make financial management simple, interactive, and accessible. Unlike traditional spreadsheets or complex finance applications, it allows users to perform tasks such as adding expenses, setting budgets, retrieving summaries, and obtaining real-time stock or market updates through natural language queries. Developed using Python, Streamlit, and SQLite, the chatbot ensures a lightweight, cost-effective, and privacy-focused solution, making it suitable for students, individuals, and small businesses. Its rule-based intent recognition enables quick and accurate processing of structured queries, while integration with APIs like Yahoo Finance provides dynamic insights into stock performance and news trends. The system supports financial awareness by explaining technical concepts in user-friendly terms and offering visual summaries of expenses and budgets. Tested across different environments, it demonstrates reliability, usability, and offline functionality. Future enhancements include advanced NLP models, predictive analytics, banking API integration, and cross-platform deployment, transforming it into a comprehensive financial assistant.

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Cite This Article

HARSHAVARDHAN R 1, Prof. A G VISHVANATH 2, "Financial Chatbot," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 9, Sep 2025.

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Publication Date

4/8/2025

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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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