International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Expense Tracker Application |
|---|---|
| ABSTRACT | Effective management of daily expenses is a common challenge for students and individuals due to irregular spending habits and lack of proper financial analysis. Manual expense tracking methods are often inefficient and error-prone. This work focuses on the development of an AI-based Expense Tracker Application designed to assist users in recording, categorizing, and analysing daily expenses. The system utilizes basic machine learning techniques to automatically classify expenses into predefined categories and generate monthly summaries using graphical visualization. The proposed application aims to simplify personal budget management and improve financial awareness among users. The results indicate that the system performs effectively for student-level personal finance applications and provides meaningful insights into spending behavior. |
| AUTHOR | VISHAL MEENA, PRERNA KARMARKAR, SUNNY GUPTA, ROHAN LODHI, SAPNA RAIKWAR Department of Artificial Intelligence & Machine Learning, Oriental Institute of Science & Technology, Bhopal, India Assistant Professor, Department of Computer Science & Engineering, Oriental Institute of Science & Technology, Bhopal, India |
| VOLUME | 180 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1401044 |
| pdf/44_Expense Tracker Application.pdf | |
| KEYWORDS | |
| References | [1] Smith, J., “Personal Expense Management Systems,” International Journal of Computer Applications, 2020. [2] Johnson, R., Lee, K., “Mobile-Based Expense Tracker,” IEEE Conference on Smart Systems, 2021. [3] Kumar, A., et al., “Machine Learning in Financial Applications,” Journal of AI Research, 2022. |
