AI Meets Personal Finance: Building a Smart Expense Analyzer with LangGraph

Author(s): Vikram Bhat

Originally published on Towards AI.

Introduction

Managing personal finances shouldn’t feel like a second job. Yet most people struggle with basic questions: Where is my money actually going? Am I paying for subscriptions I forgot about? Why was this month so expensive?

This article introduces a Smart Expense Analyzer that leverages the LangGraph framework and the LLaMA 3.x model, providing insights into personal finances by categorizing transactions, detecting patterns, tracking subscriptions, analyzing budgets, and identifying savings opportunities through a user-friendly interface designed with Streamlit. The article goes on to break down the architecture of the system, discusses prerequisites for running the project, and details the implementation of each agent responsible for the various analyses, emphasizing the modular design for future enhancements and privacy considerations.

Read the full blog for free on Medium.

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Published via Towards AI