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This work is licensed under a Creative Commons Attribution 4.0 International License.
Smart Budget Buddy: An AI-Enhanced Personal Finance Management System Using Large Language Models and Serverless Architecture
Khan Ayaan, Shaikh Rehan, Malik Aban, Ansari Rayyan, Neha Salunkhe
DOI: 10.17148/IJARCCE.2026.153138
Abstract: This paper is about Smart Budget Buddy, a financial management tool that uses artificial intelligence to make it easy for people to track their expenses see where their money is going and get advice on how to manage their finances. The system is made up of a web application that works with a serverless backend, which uses PostgreSQL to keep user data safe and secure. One of the things about Smart Budget Buddy is that it uses a big language model called Gemini to automatically sort transactions and give users personalized advice on their finances all without sharing sensitive information with the users device. The goal of Smart Budget Buddy is to be secure work well for a lot of users and make it easy for people to make financial decisions without having to do a lot of work. When we tested Smart Budget Buddy we found that it was really good, at sorting transactions and giving advice, which shows that using big language models can be a great way to build personal finance tools that work well and are easy to use.
Keywords: βArtificial Intelligence, Personal Finance, Large Language Models, Serverless Architecture, React, Supabase, Gemini, Budget Management, Edge Computing, TypeScript, PostgreSQL, Row Level Security.
Keywords: βArtificial Intelligence, Personal Finance, Large Language Models, Serverless Architecture, React, Supabase, Gemini, Budget Management, Edge Computing, TypeScript, PostgreSQL, Row Level Security.
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How to Cite:
[1] Khan Ayaan, Shaikh Rehan, Malik Aban, Ansari Rayyan, Neha Salunkhe, βSmart Budget Buddy: An AI-Enhanced Personal Finance Management System Using Large Language Models and Serverless Architecture,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.153138
