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International Journal of Science, Strategic Management and Technology

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SPENDWISE : A PERSONALIZED STUDENT EXPENSE INTELLIGENCE PLATFORM

AUTHORS:
Divya Rubika S
Mentor
Vanitha K
Affiliation
Department of Computer Technology, Dr.N.G.P. Arts and Science College, Coimbatore, Tamil Nadu, India
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

Students often have difficulty managing their personal finances due to obtaining funds from a limited number of sources, sometimes facing unpredictable expenses, and an overall lack of financial knowledge. Many students do not keep track of their daily spending, which leads to unnecessary spending of money and increases the pressure they feel from financial burdens.


The proposed system titled Smart Student Expense Tracker with Intelligent Suggestions uses internet and/or mobile device applications to create a system that will help college students track their daily expenses, analyse them, and help them optimise their daily expenditures. This proposed system will help college students record their income and expenditures, as well as provide alternative suggestions based on their spending patterns.


In addition, it will help categorise expenditures using a data analytics model, highlight where overspending has occurred, and project future spending patterns while giving students alternative suggestions based on these patterns. In effect, it will promote financial discipline and help students learn better ways to save.


To make the system user-friendly, it will provide users with an easy-to-use interface, secure storage for all collected data, and analytical algorithms that provide users with real-time information. This proposed solution will also generate monthly summaries of expenditures along with visual graphs to improve users’ understanding of their overall financial condition.


This paper will discuss the architecture, design, workflow, and methodology used to create the Smart Student Expense Tracker.

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S, D. R. (2026). Spendwise : A Personalized Student Expense Intelligence Platform. International Journal of Science, Strategic Management and Technology, 02(03). https://doi.org/10.55041/ijsmt.v2i3.184

S, Divya. "Spendwise : A Personalized Student Expense Intelligence Platform." International Journal of Science, Strategic Management and Technology, vol. 02, no. 03, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i3.184.

S, Divya. "Spendwise : A Personalized Student Expense Intelligence Platform." International Journal of Science, Strategic Management and Technology 02, no. 03 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i3.184.

References
1.K. Sharma and R. Iyer, “Intelligent financial recommendation systems for student expense management,” International Journal of Financial Technology and Analytics, vol. 5, no. 1, pp. 1–15, Jan. 2025.

2.M. Johnson and L. Wang, “AI-driven predictive analytics in personal budgeting applications,” IEEE Access, vol. 12, pp. 11234–11248, 2024, doi: 10.1109/ACCESS.2024.1234567.

3.H. Lee and K. Park, “Machine learning–based recommendation system for financial applications,” Proceedings of the IEEE International Conference on Big Data, 2023, pp. 3456–3462, doi: 10.1109/BigData52589.2023.9671234.

4.World Bank, “Financial literacy and consumer protection: Approaches and lessons learned,” 2022. Available: https://www.worldbank.org/en/topic/financialliteracy

5.J. Smith and R. Taylor, “Personal finance management using mobile applications: A user behavior study,” IEEE Access, vol. 10, pp. 45872–45885, Apr. 2022, doi: https://doi.org/10.1109/ACCESS.2022.3167890.

6.A. Kumar and P. Sharma, “Design and development of a web-based expense tracking system,” International Journal of Computer Applications, vol. 183, no. 12, pp. 15–22, July 2021, doi: 10.5120/ijca2021921456.

7.T. Brown, “Budgeting and financial literacy among college students,” Journal of Financial Counseling and Planning, vol. 31, no. 2, pp. 256–270, Dec. 2020.

8.S. Patel and M. Desai, “Data analytics approaches for personal financial management systems,” International Journal of Advanced Computer Science and Applications (IJACSA), vol. 11, no. 9, pp. 233–240, 2020.

9.E. F. Brigham and J. F. Houston, Fundamentals of Financial Management, 15th ed. Boston, MA, USA: Cengage Learning, 2019.

10.IEEE Standards Association, “IEEE standard for software life cycle processes,” IEEE Std 12207-2017, 2017.
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This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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