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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM48759
Volume:
9 |
5 |
May 2025
Pages:
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.
In the modern financial landscape, predictive analytics and machine learning are revolutionizing personal finance management. This paper explores various machine learning techniques, including deep learning and reinforcement learning, applied to personal finance such as expense tracking, budgeting, and financial forecasting. We review significant advancements in predictive models, real-time tracking systems, and anomaly detection for personal finance. The research incorporates multiple contributions from recent studies on the application of AI and machine learning for smarter financial decision-making, automation in expense categorization, and the enhancement of budgeting systems.
KEYWORDS
Publication Date
5/26/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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