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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68602
Volume:
10 |
10 |
Oct 2026
Pages:
1-6
Publication Frequency:
Monthly (12 issues per year)
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.

Department of Computer Science
SNS College of Engineering
Department of Computer Science
SNS College of Engineering

Department of Computer Science
SNS College of Engineering

Department of Computer Science
SNS College of Engineering

Department of Computer Science
SNS College of Engineering
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 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.
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Publication Date
10/31/2026
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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