Financial Wellness Tracking Application using – MERN Stack

International Journal of Computer Science and Engineering
© 2023 by SSRG - IJCSE Journal
Volume 10 Issue 11
Year of Publication : 2023
Authors : Janga Divya, Bellam Harshitha, Aleti Harika, Aluri Santhisree, Alla Kalavathi

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How to Cite?

Janga Divya, Bellam Harshitha, Aleti Harika, Aluri Santhisree, Alla Kalavathi, "Financial Wellness Tracking Application using – MERN Stack," SSRG International Journal of Computer Science and Engineering , vol. 10,  no. 11, pp. 1-6, 2023. Crossref, https://doi.org/10.14445/23488387/IJCSE-V10I11P101

Abstract:

A thorough analysis and deployment of a web-based expenditure tracking system constructed utilizing the MERN (MongoDB, Express.js, React, Node.js) technological stack are presented in the research paper "Development of an Expense Tracker Application using MERN Stack". In an increasingly digital and data-driven world, there is a rising need for effective personal financial management solutions, which is what our project seeks to solve. The importance of expense monitoring in personal financial management and the benefits of using web-based tools for this purpose are covered in the first section of the study paper. It highlights how important it is to have an easy-to-use, safe platform for financial analysis, planning, and spending tracking. The project's technological architecture is explained in detail, highlighting the usage of Express.js and Node.js to build reliable financial data storage and MongoDB as the databases.

Keywords:

Add expenses, View analytics, Add category, Delete category, Filter transaction.

References:

[1] Shahed Anzarus Sabab et al., “Expense: A Smart Approach to Track Everyday Expense,” 2018 4th International Conference on Electrical Engineering and Information and Communication, pp. 136-141, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Michael D Kimbrough et al., “SQL Databases for Expense Tracking: Benefits and Challenges,” Journal of Financial Software, vol. 3, no. 1, pp. 45-58, 2017.
[3] M. Levion et al., “SQL Database Design and Expense Tracking: A Case Study,” International Journal of Database Management, vol. 6, no. 4, pp. 56-68, 2018.
[4] L. Chen et al., “Mobile Expense Tracking Applications: SQL and XML Integration,” Mobile Computing Journal, vol. 12, no. 3, pp. 421- 436, 2019.
[5] Conan C. Albrecht, Douglas L. Dean, and James V. Hansen, “Marketplace and Technology Standards for B2B E-Commerce: Progress, Challenges, and the State of the Art,” Information and Management, vol. 42, no. 6, pp. 865-875, 2005.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Alberto Fernández et al., “Automating Expense Categorization with ML: A Case Study,” International Journal of Machine Learning, vol. 5, no. 2, pp. 112-127, 2019.
[7] R. Garcia et al., “ML-Driven Data Visualization for Expense Insights,” Journal of Financial Data Visualization, vol. 4, no. 3, pp. 210- 225, 2019.
[8] S. Jain, and P. Gupta, “User Experience and Accessibility in ML-Based Expense Tracking Applications,” Journal of User Experience, vol. 7, no. 1, pp. 32-47, 2019.
[9] R. Patel et al., “Web-Based Expense Tracking with Python Web Frameworks,” Journal of Web Applications, vol. 7, no. 2, pp. 112-127, 2021.
[10] A. Brown et al., “Python Libraries for Expense Tracking: A Comparative Study,” Journal of Financial Software, vol. 4, no. 2, pp. 87- 98, 2019.
[11] Osama Sohaib, and Khalid Khan, “Integrating Usability Engineering and Agile Software Development: A Literature Review,” 2010 International Conference on Computer Design and Applications, vol. 2, pp. 32-38, 2010.
[CrossRef] [Google Scholar] [Publisher Link]