Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM65223

FinSight: Budget Tracking Application With AI Insights

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM65223

Volume:

10 |

6 |

Jun 2026

Pages:

1-4

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM65223

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.

Share this article:

Authors

PSI

Prathmesh Santosh Indalkar

Department of Computer Science

JSPM Narhe Technical Campus

Download Author Certificate
PSR

Prof. Snehal Ralebhat

Department of Computer Science

JSPM Narhe Technical Campus

Download Co-Author Certificate
SSJ

Saily Sanjay Jagdale

Department of Computer Science

JSPM Narhe Technical Campus

Download Co-Author Certificate
SSJ

Samiksha Sham Jadhav

Department of Computer Science

JSPM Narhe Technical Campus

Download Co-Author Certificate
CSS

Cherry Siddharth Sonsale

Department of Computer Science

JSPM Narhe Technical Campus

Download Co-Author Certificate

Author Services & Downloads

Full ArticlesAcceptance Certificate

Abstract

Managing personal finances effectively has become increasingly challenging due to rising expenses and complex financial commitments. Many existing budgeting applications primarily focus on recording transactions and generating basic reports, offering limited support for financial analysis and decision-making. This paper presents FinSight: Budget Tracking Application with AI Insights, an intelligent financial management system designed to help users monitor income, track expenses, manage budget goals, and improve overall financial planning. The proposed application integrates Artificial Intelligence techniques to analyze spending behavior, identify financial patterns, predict future expenses, and generate personalized recommendations. The system also includes advanced features such as financial calculators, survival runway estimation, and FIRE (Financial Independence, Retire Early) planning to support both short-term and long-term financial objectives. Developed using modern web technologies and cloud-based services, the application provides a secure, scalable, and user-friendly platform for personal finance management. By combining expense tracking with intelligent analytics, FinSight assists users in making informed financial decisions and achieving greater financial stability.

KEYWORDS

Budget Tracking Personal Finance Management Artificial Intelligence Expense Analysis Financial Planning Expense Prediction Budget Goals FIRE Planning Financial Analytics Web Application.

Cite This Article

Prathmesh Santosh Indalkar, Prof. Snehal Ralebhat, Saily Sanjay Jagdale, Samiksha Sham Jadhav, Cherry Siddharth Sonsale, "FinSight: Budget Tracking Application With AI Insights," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 6, pp. 1-4, Jun 2026. https://doi.org/10.55041/IJSREM65223

Full Article/Conclusion

FinSight is an intelligent Budget Tracking Application designed to simplify personal finance management through effective income and expense tracking, budget goal monitoring, and AI-powered financial analysis. The system provides users with valuable insights into their spending behavior, helps predict future expenses, and offers personalized recommendations to improve financial decision-making. Features such as financial calculators, survival runway estimation, FIRE planning, and analytical reports enhance the overall functionality of the application. The use of modern web technologies and cloud-based services ensures security, scalability, and real-time accessibility. Overall, the proposed system successfully addresses the limitations of traditional budgeting methods and provides a comprehensive solution for managing personal finances efficiently. Future enhancements may include banking API integration, mobile application support, investment tracking, and advanced predictive analytics.

References

Software Engineering: A Practitioner's Approach, 9th ed., McGraw-Hill fdxff  R. S. Pressman and B. R. Maxim, Education, 2020. I. Sommerville, Software Engineering, 10th ed., Pearson Education, 2016.  S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, 4th ed., Pearson Education, 2021.  T. M. Mitchell, Machine Learning, McGraw-Hill Education, 1997.  A. Banks and E. Porcello, Learning React: Modern Patterns for Developing React Apps, O'Reilly Media, 2020. D. Herron, Node.js Web Development, 5th ed., Packt Publishing, 2020. K. Chodorow, MongoDB: The Definitive Guide, 3rd ed., O'Reilly Media, 2019. M. L. Murphy, Beginning Firebase for Android Development, Apress, 2017.  React.js Documentation. Available: https://react.dev/  Node.js Documentation. Available: https://nodejs.org/  Firebase Documentation. Available: https://firebase.google.com/docs/  MongoDB Documentation. Available: https://www.mongodb.com/docs/

Editorial & Review Transparency

Publication Date

6/20/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

3

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

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

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...