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EXPENSE MATE
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Abstract: Managing personal and organizational finances has long been a tedious and error-prone task. This paper presents Expense Mate β a smart expense and financial reporting system that uses Artificial Intelligence alongside the MERN stack (MongoDB, Express.js, React.js, and Node.js) to make this process considerably easier and more reliable. Rather than relying on manual data entry, the system automatically tracks, categorizes, and generates reports for expenses using machine learning algorithms. It also offers real-time financial dashboards, detects unusual spending patterns, and gives users personalized budgeting advice. Because it is built on the MERN architecture, the system scales well and delivers a smooth user experience. The core idea behind this work is simple: by combining modern web technologies with AI, individuals and organizations can gain genuine control over their finances, make better decisions, and reduce the inefficiencies that come from doing things by hand.
Keyword: MERN Stack, Artificial Intelligence, Expense Management, Financial Reporting, Automation, Data Analytics, Machine Learning, Smart Finance System.
Keyword: MERN Stack, Artificial Intelligence, Expense Management, Financial Reporting, Automation, Data Analytics, Machine Learning, Smart Finance System.
How to Cite:
[1] Shubham, Aniket Gupta, Manish Patel, Abhishek Yadav, Mrs. Prachi Yadav, βEXPENSE MATE,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.154303
