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:IJSREM68602

AI FAMILY FINANCIAL ANALYST

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM68602

Volume:

10 |

10 |

Oct 2026

Pages:

1-6

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM68602

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

Akash S

Akash S

Department of Computer Science

SNS College of Engineering

Download Author Certificate
RR

R. RajiniGanth

Department of Computer Science

SNS College of Engineering

Download Co-Author Certificate
Gugan G

Gugan G

Department of Computer Science

SNS College of Engineering

Download Co-Author Certificate
Dharaneesh R

Dharaneesh R

Department of Computer Science

SNS College of Engineering

Download Co-Author Certificate
Akshaya R

Akshaya R

Department of Computer Science

SNS College of Engineering

Download Co-Author Certificate

Author Services & Downloads

Full ArticlesAcceptance Certificate

Abstract

Managing family finances often involves tracking income, expenses, savings, debts, and financial transactions across separate records, creating difficulties in understanding spending patterns and planning budgets. AI Family Financial Analyst is an AI-powered family financial management system designed to organize these activities within a centralized platform. The proposed system combines income and expense tracking, document-based financial data extraction, expense categorization, spending pattern analysis, future expense prediction, and personalized budget and savings recommendations. The platform uses data analytics to identify spending behaviour, monitor financial activities, and help families make better financial decisions. The system also includes a centralized financial dashboard, transaction management, budget planning, savings analysis, and consolidated financial reports. This paper describes the system scope, workflow, architecture, prototype screens, and responsible-use considerations. The proposed system aims to simplify household financial management by providing clear financial insights and AI-assisted recommendations. The accuracy of predictions, security-test results, system performance, and end-to-end testing require further validation. Accordingly, the reported outcomes should be considered design- and prototype-level observations rather than claims of measured production performance. A validation plan is outlined for assessing accuracy, reliability, security, usability, and recommendation quality before deployment.

KEYWORDS

AI-powered financial management family finance expense tracking budget planning savings analysis financial dashboard

Cite This Article

Akash S, R. RajiniGanth, Gugan G, Dharaneesh R, Akshaya R, "AI FAMILY FINANCIAL ANALYST," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-6, Oct 2026. https://doi.org/10.55041/IJSREM68602

Full Article/Conclusion

AI Family Financial Analyst proposes an integrated family financial management system that connects income and expense tracking, financial data collection, expense categorization, AI-assisted financial analysis, budget planning, and savings recommendations. Its core design contribution is a centralized and organized workflow that brings family financial records and analytical insights together. The accompanying prototypes illustrate how users could review financial information, spending patterns, budget status, and recommendations within a single platform. The available artifacts establish the intended workflow and interface direction but do not establish verified runtime accuracy, security, scalability, or end-to-end reliability.

References

[1]  A. Black and M. van Esch, “AI-enabled recruiting: What is it and how should a manager use it?” Business Horizons, vol. 63, no. 2, pp. 215–226, 2020, doi: 10.1016/j.bushor.2019.12.001. [2]  P. Tambe, P. Cappelli, and V. Yakubovich, “Artificial intelligence in human resources management: Challenges and a path forward,” California Management Review, vol. 61, no. 4, pp. 15–42, 2019, doi: 10.1177/0008125619867910. [3]  M. Raghavan, S. Barocas, J. Kleinberg, and K. Levy, “Mitigating bias in algorithmic hiring: Evaluating claims and practices,” in Proc. FAccT, 2020, pp. 469–481, doi: 10.1145/3351095.3372828. [4]  A. Köchling and M. C. Wehner, “Discriminated by an algorithm: A systematic review of discrimination and fairness by algorithmic decision-making in HR recruitment and development,” Business Research, vol. 13, pp. 795–848, 2020, doi: 10.1007/s40685-020-00134-w. [5]  A. L. Hunkenschroer and C. Luetge, “Ethics of AI-enabled recruiting and selection: A review and research agenda,” Journal of Business Ethics, vol. 178, pp. 977–1007, 2022, doi: 10.1007/s10551-022-05049-6. [6]  M. A. Campion, D. K. Palmer, and J. E. Campion, “A review of structure in the selection interview,” Personnel Psychology, vol. 50, no. 3, pp. 655–702, 1997, doi: 10.1111/j.1744-6570.1997.tb00709.x. [7]  E. Tabassi, Artificial Intelligence Risk Management Framework (AI RMF 1.0), NIST AI 100-1, National Institute of Standards and Technology, 2023, doi: 10.6028/NIST.AI.100-1. [8]  OWASP Foundation, OWASP Application Security Verification Standard (ASVS), Version 5.0.0, 2025. [Online]. Available: https://asvs.owasp.org.

Editorial & Review Transparency

Publication Date

10/31/2026

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

4

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...