Expense Tracker with In-Built AI

In the current digital economy, handling personal funds might be difficult. The web-based expensetracking application presented in this study was constructed using React.js and has an architecture that isprepared for financial insights powered by artificial intelligence. Through an easy-to-use, dynamic interface,users can enter, classify, and track income and expenses in real-time. Consistent state management betweencomponents is guaranteed by React's Context API. Financial reports and history are dynamically renderedby the system, and AI integration for predictive analytics and budget advice is planned for the future. Itfacilitates smooth interaction and precise financial tracking when implemented as a single-page application.With future developments including machine learning and natural language processing for tailoredrecommendations and automated transaction classification, this project demonstrates the potential of fusingcutting-edge online technology with intelligent data processing.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-14
DOI
https://doi.org/10.5281/zenodo.15400205
Primary Topic
Personal Information Management and User Behavior
Type
article
Field-Weighted Citation Impact
0.00
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article

Expense Tracker with In-Built AI

Zenodo (CERN European Organization for Nuclear Research)
Personal Information Management and User Behavior
article

Expense Tracker with In-Built AI

article en

Abstract

In the current digital economy, handling personal funds might be difficult. The web-based expensetracking application presented in this study was constructed using React.js and has an architecture that isprepared for financial insights powered by artificial intelligence. Through an easy-to-use, dynamic interface,users can enter, classify, and track income and expenses in real-time. Consistent state management betweencomponents is guaranteed by React's Context API. Financial reports and history are dynamically renderedby the system, and AI integration for predictive analytics and budget advice is planned for the future. Itfacilitates smooth interaction and precise financial tracking when implemented as a single-page application.With future developments including machine learning and natural language processing for tailoredrecommendations and automated transaction classification, this project demonstrates the potential of fusingcutting-edge online technology with intelligent data processing.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 39%
Personal Information Management and User Behavior
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