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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM59077
Volume:
10 |
4 |
April 2026
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.
This paper presents a Budget Tracking Application integrated with Artificial Intelligence (AI) to improve personal financial management. Traditional expense tracking systems mainly focus on recording transactions but lack analytical and predictive capabilities. The proposed system overcomes these limitations by incorporating intelligent modules such as AI-based insights, financial calculators, budget goal tracking, and survival runway estimation. The application analyzes user spending behavior, identifies patterns, and generates personalized recommendations to optimize savings and reduce unnecessary expenses. Additionally, features such as expense projection and FIRE (Financial Independence Retire Early) planning assist users in long-term financial decision-making. The system is designed using modern web technologies with a user-friendly interface and efficient backend support. Experimental observations indicate that the application enhances financial awareness and supports better decision-making. The proposed solution acts as a smart financial assistant rather than a simple tracking tool, providing both analysis and guidance to users.
KEYWORDS
Publication Date
3/3/2026
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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