TrackXpense: A Secure, Multilingual, and Insight-Driven Personal Expense Tracking Web Application

Looking back at the twenty papers we reviewed when starting this project, the most striking thing isn't what they got wrong — it's what they consistently skipped over. Security, multilingual support, dark mode, and intelligent analytics that work before you have months of data to train on are not exotic features. They are the kind of things a real application needs to function well for real users. The fact that most published implementations don't have them isn't a knowledge gap; it seems more like a priority gap. TrackXpense was our attempt to build a version of this application that took all of those areas seriously at the same time. The security architecture — CSRF validation with timing-safe comparison, dual-vector rate limiting, session fixation prevention, and ownership enforcement in every delete operation — came directly from working through what the attack surface of a personal finance app actually looks like. The SQL-based analytics came from wanting to give users useful feedback from day one without the overhead of an ML pipeline. The Marathi language support came from thinking honestly about who would actually use an app like this in Maharashtra.

1.       "Money Map: The Personal Finance Tracker," IEEE Xplore. Available: https://ieeexplore.ieee.org/document/11035699  2.       "Personal Finance Management and Prediction using ML Algorithms," IEEE Xplore, 2024. DOI: 10.1109/10816949 3.       "Personal Financial Management Behavior using Digital Platforms," Journal of Financial Management, Markets and Institutions, Vol. 10, No. 2, pp. 1–26, 2022. 4.       "Mobile Bookkeeper: Personal Financial Management Application with Receipt Scanner," IEEE Xplore, 2021. DOI: 10.1109/OT4ME53559.2021.9638794 5.       "Personal Financial Planner using Forward Chaining," IEEE Xplore, 2015. DOI: 10.1109/7010211