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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM62595

A Mobile-Based Personal Finance Management & Expense Tracking System for Real-Time Financial Data Visualization

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM62595

Volume:

10 |

5 |

May 2026

Pages:

1-5

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM62595

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.

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Authors

VR

Vansh Rangare

Department of Computer Science and Engineering

Jhulelal Institute of Technology Nagpur, India

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VC

Vishad Chaple

Department of Computer Science and Engineering

Jhulelal Institute of Technology Nagpur, India

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TM

Tushar Manwatkar

Department of Computer Science and Engineering

Jhulelal Institute of Technology Nagpur, India

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ST

Sunny Tabhane

Department of Computer Science and Engineering

Jhulelal Institute of Technology Nagpur, India

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VW

Vinit Waghmare

Department of Computer Science and Engineering

Jhulelal Institute of Technology Nagpur, India

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Mentors

PRG

Prof. Rajni Gaikwad

Department of Computer Science and Engineering

Jhulelal Institute of Technology Nagpur, India

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Abstract

This study details the architectural design and implementation of a Personal Finance Management System (PFMS), a mobile application engineered to aggregate, scrutinize, and visualize financial transaction data in real-time. By employing interactive graphical representations and intuitive User Interfaces (UI), the application enables users to decode spending trends, identify high-expenditure categories, and evaluate overall financial health. The primary objective is to transform raw financial data into actionable insights, facilitating informed decision-making. Through the integration of cloud-based synchronization and automated push notifications, the system assists individuals in optimizing savings efficiency and fostering sustainable budgeting practices directly from their handheld devices.

KEYWORDS

Keywords— Tracking FinTech Data Visualization Budget Optimization SQLite. Financial Analytics Mobile Computing Real-Time Expense

Cite This Article

Vansh Rangare, Vishad Chaple, Tushar Manwatkar, Sunny Tabhane, Vinit Waghmare, Prof. Rajni Gaikwad, "A Mobile-Based Personal Finance Management & Expense Tracking System for Real-Time Financial Data Visualization," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-5, May 2026. https://doi.org/10.55041/IJSREM62595

Full Article/Conclusion

The Personal Finance Management and Expense Tracking System demonstrates the efficacy of combining modern web technologies—React.js, Python Flask, SQLite, and Firebase—with rigorous mathematical monitoring algorithms to deliver a production-grade personal finance platform. The system achieves all primary design objectives: 187 ms average chart rendering, 100% budget alert accuracy, 75% reduction in transaction entry time, 100% offline synchronization success, and an SUS score of 82.5 (Excellent). By providing a fully open-source, locally-deployable alternative to subscription-based commercial applications, this work contributes a viable financial management solution for the 250 million students and first-time earners in India’s Tier-2 and Tier-3 cities who are currently underserved by existing FinTech products. The mathematical framework for the Savings Ratio (SR) and Alert Status (AS) mechanisms provides a formal, quantifiable basis for financial health monitoring that extends beyond the heuristic approaches found in consumer applications. The decoupled MVC architecture—JWT-secured Flask REST API, normalized SQLite schema with indexed foreign keys, and client-side Recharts visualization—establishes a replicable, academically transparent template for future finance tracking systems. The System Usability Scale score of 82.5 and the 87% daily-use intent rate among pilot participants confirm that the system transcends the academic prototype stage and is ready for real-world adoption. Future work will focus on integrating predictive NLP and LSTM models to transition the platform from reactive monitoring to proactive financial guidance.

References

[1] R. Moustafa and H. Shareef, “A Smart Mobile-Based Financial Health and Expense Monitoring System With Enhanced Features,” IEEE Access, vol. 13, pp. 450–462, 2025. [2]  R. Errouissi and J. Selvaraj, “Solution Architecture for Smart Finance in Mobile Computing Environments,” Journal of FinTech Research, pp. 12–18, 2025. [3]  H. J. Khasawneh et al., “Mobile-based solutions for real-time financial monitoring,” International Journal of Computer Science, vol. 5, no. 15, pp. 102–115, 2025. [4] Reserve Bank of India (RBI), “Report on Financial Literacy and National Strategy,” 2022. [5] S. Kumar and P. Varma, “Optimization of SQLite Databases for Resource-Constrained Mobile Devices,” Mobile Tech Review, 2024. [6]  T. Chen, “Real-time Data Visualization on Mobile Platforms,” ACM Transactions on Graphics, 2023. [7]   V. Gupta, “Impact of Mobile Apps on Personal Savings Behavior,” Global Financial Journal, 2024. [8]   A. Singh and R. Patel, “JWT Authentication Patterns for RESTful APIs in Python Flask,” International Journal of Software Engineering, vol. 12, no. 3, pp. 45–52, 2023. [9]  M. Kumar, “React.js for Data-Intensive Web Applications: A Performance Analysis,” Web Technologies Journal, vol. 8, pp. 21–29, 2024. [10]  P. Sharma, “Budget Management Algorithms for Consumer Finance Applications,” Journal of Applied Computing, vol. 6, no. 2, pp. 88–95, 2023.

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Publication Date

5/6/2026

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Review Rounds: 2

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