Moneymind: Ai-Powered Personal Finance Management System

Prasanna, S. and Ganeshraj, T S (2026) Moneymind: Ai-Powered Personal Finance Management System. International Journal of Computer Science Trends and Technology (IJCST).

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Abstract

In the digital age, financial management has become more complex owing to escalating costs, diverse income streams, and the necessity for meticulous financial planning. Conventional financial management techniques, including manual record-keeping and spreadsheets, lack automation, accuracy, and insightful analysis. These constraints hinder consumers from making prudent financial choices.
This article introduces MoneyMind, an AI-based personal financial management solution that incorporates sophisticated data analytics and machine learning methodologies to tackle these issues. The solution offers a centralized platform for the administration, recording, and analysis of real-time financial transactions. Its advanced features include the Isolation Forest method to find unusual spending, linear programming to help create better budgets, and Seasonal Auto-Regressive Integrated Moving Average (SARIMA) to predict costs. The suggested approach enhances individuals' knowledge of their financial status by delivering visual information via interactive dashboards and automated report generation. Experimental studies indicate that artificial intelligence significantly enhances financial decision-making, mitigates atypical expenditures, and fosters optimal budget allocation. The system is scalable, intuitive, and efficient for managing personal funds in practical applications.

Item Type: Article
Subjects: Computer Applications > Information Technology
Domains: Computer Applications
Depositing User: Mr IR Admin
Date Deposited: 18 May 2026 09:22
Last Modified: 19 May 2026 11:38
URI: https://ir.vistas.ac.in/id/eprint/20100

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