Expense Tracker

This research presents the development of "Expense Tracker," a comprehensive web application designed to address the inefficiencies of traditional manual financial logging. Built upon the MERN Stack (MongoDB, Express.js, React, Node.js), this single-page application (SPA) offers a streamlined, real-time solution for tracking personal income and expenditure. The primary objective of the study was to create a cross-platform tool that integrates robust user authentication, secure database management, and dynamic data visualization. The application leverages the non-blocking architecture of Node.js and the component-based structure of React.js to deliver a high-performance user experience. Key features include custom expense categorization, secure transaction logging, and an integrated visualization module utilizing Chart.js to render spending habits into interactive pie charts and bar graphs. The results demonstrate that transforming raw financial data into visual formats significantly reduces cognitive load, empowering users to make informed decisions, reduce overspending, and achieve savings goals. This project serves as a validated proof-of-concept for scalable, full-stack financial technology solutions.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-21
DOI
https://doi.org/10.5281/zenodo.18324359
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Expense Tracker

Parikshit Singh Rathore, Ayush Sharma, Rachit Jain
Zenodo (CERN European Organization for Nuclear Research)
Data Visualization and Analytics
article

Expense Tracker

Parikshit Singh Rathore, Ayush Sharma, Rachit Jain
article en

Abstract

This research presents the development of "Expense Tracker," a comprehensive web application designed to address the inefficiencies of traditional manual financial logging. Built upon the MERN Stack (MongoDB, Express.js, React, Node.js), this single-page application (SPA) offers a streamlined, real-time solution for tracking personal income and expenditure. The primary objective of the study was to create a cross-platform tool that integrates robust user authentication, secure database management, and dynamic data visualization. The application leverages the non-blocking architecture of Node.js and the component-based structure of React.js to deliver a high-performance user experience. Key features include custom expense categorization, secure transaction logging, and an integrated visualization module utilizing Chart.js to render spending habits into interactive pie charts and bar graphs. The results demonstrate that transforming raw financial data into visual formats significantly reduces cognitive load, empowering users to make informed decisions, reduce overspending, and achieve savings goals. This project serves as a validated proof-of-concept for scalable, full-stack financial technology solutions.

Zenodo (CERN European Organization for Nuclear Research)
No poverty
Openalex Percentile: Top 83%
Data Visualization and Analytics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.