International Journal of Advanced Research in Computer and Communication Engineering

Abstract: The increasing use of digital payments and group-based activities such as travel, shared accommodation, and events has created a strong need for efficient expense management systems. Many existing solutions provide basic expense tracking but lack intelligent automation, transparency, and user-friendly settlement mechanisms. This paper presents the AI Powered Expense Splitter, a web-based application designed to simplify shared expense tracking and settlement using automation and AI-assisted features.
The system allows users to securely authenticate, create expense groups, add members, record expenses, and automatically split costs among participants. AI-based receipt processing reduces manual data entry by extracting expense details directly from uploaded receipts. The application provides clear balance summaries, showing how much each user owes or is owed. The system is developed using modern web technologies including Next.js, React, Tailwind CSS, Convex for backend and database management, and Clerk for secure authentication. The modular architecture ensures scalability, security, and ease of maintenance, making the system suitable for real-world personal and group expense management.

Downloads: | DOI: 10.17148/IJARCCE.2026.151114