Android App for Expense Tracker using Kotlin

Personal finances management (PFM) is identified as one of the key skills required for an individual to become and remain financially stable and disciplined. Most individuals experience difficulty in monitoring daily expenses, which usually leads to inefficient budgeting and eventually overspending. To compensate for the common problem, this study presents the design, development, and preliminary validation of a native Android-based Expense Tracker application developed in the Kotlin programming language. The app is set to offer users an easy-to-use interface for the real-time recording, classifying, and tracking of their every-day expenditures. Of utmost importance to the system’s stable performance and offline usage is the inclusion of the Room Database library for local durable storage, in addition to the effective data display functionality of RecyclerView. The key purpose of the application is to provide transparent visualisation of expenditure habits via interactive graphs and thus raise user awareness, promote austere budgeting habits, and create savings habits. Early trials validate the app’s consistent performance across a range of Android devices and its ability to provide a clearly noticeable smooth user experience. This project builds a solid ground with contemporary Android best-practice architecture and outlines an exhaustive roadmap for future developments such as cloud sync, advanced biometric security, and integrating Artificial Intelligence (AI) for auto- expense analysis and financial forecasting.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-18
DOI
https://doi.org/10.5281/zenodo.17975807
Primary Topic
Mobile and Web Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Android App for Expense Tracker using Kotlin

Zenodo (CERN European Organization for Nuclear Research)
Mobile and Web Applications
article

Android App for Expense Tracker using Kotlin

article en

Abstract

Personal finances management (PFM) is identified as one of the key skills required for an individual to become and remain financially stable and disciplined. Most individuals experience difficulty in monitoring daily expenses, which usually leads to inefficient budgeting and eventually overspending. To compensate for the common problem, this study presents the design, development, and preliminary validation of a native Android-based Expense Tracker application developed in the Kotlin programming language. The app is set to offer users an easy-to-use interface for the real-time recording, classifying, and tracking of their every-day expenditures. Of utmost importance to the system’s stable performance and offline usage is the inclusion of the Room Database library for local durable storage, in addition to the effective data display functionality of RecyclerView. The key purpose of the application is to provide transparent visualisation of expenditure habits via interactive graphs and thus raise user awareness, promote austere budgeting habits, and create savings habits. Early trials validate the app’s consistent performance across a range of Android devices and its ability to provide a clearly noticeable smooth user experience. This project builds a solid ground with contemporary Android best-practice architecture and outlines an exhaustive roadmap for future developments such as cloud sync, advanced biometric security, and integrating Artificial Intelligence (AI) for auto- expense analysis and financial forecasting.

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Openalex Percentile: Top 26%
Mobile and Web Applications
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.

Android App for Expense Tracker using Kotlin · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS