Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{200216,
author = {Prof. D. J. Manowar and Prof. R. N. Khobragade},
title = {AI-Powered Personal Finance Automation System Using Predictive Analytics},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {12},
pages = {3894-3897},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=200216},
abstract = {The advancement of artificial intelligence (AI) has significantly influenced financial technologies, enabling intelligent automation in personal finance management. This paper presents the design and implementation of an AI-powered personal finance automation system that utilizes predictive analytics to forecast user expenses and optimize budgeting strategies. The system integrates machine learning models with financial data processing pipelines to provide actionable insights. Experimental evaluation using real-world inspired datasets demonstrates improved prediction accuracy and enhanced financial decision-making. The proposed system offers a scalable and user-centric solution for modern financial ecosystems.},
keywords = {Artificial Intelligence, Predictive Analytics, Personal Finance, Machine Learning, Financial Forecasting, FinTech},
month = {May},
}
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