AI Credit Card Auditor

Client: Confidential Fintech Solutions

Project: AI-Powered Automated Expense Reconciliation

A Brief description: The AI Credit Card Auditor is an intelligent financial verification tool designed to eliminate manual bookkeeping stress. The system automatically cross-references and matches Credit Card (CC) expense entries against contextual data harvested from email and calendar history. Powered by a hybrid approach of local high-speed fuzzy logic engines and advanced Large Language Models (LLMs), it validates the true source event behind every transaction line item.

Key Architectural Features:

• Streamlined Data Flow: Operating via an optimized pipeline, the platform ingests a pre-parsed CC.csv dataset as its primary data source instead of repeatedly reprocessing raw PDF documents, maximizing execution efficiency.
• Intelligent Matching Logic: Employs dual-layer verification, combining localized fuzzy matching algorithm rules with deep LLM contextual analysis to confidently pair vague transaction descriptors with concrete corporate events.
• Secure MS Calendar Integration: Features a secure token exchange system generated through a lightweight PHP authentication interface, allowing a robust backend Python subsystem to safely fetch calendar entries.
• Actionable Audit Outputs: Automatically compiles and exports the verified data matches into clean, structured, and developer-friendly CSV and JSON formats for instant ledger ingestion.

Tech Stack:
Automation & Core Logic: Python, LLM APIs, Local Fuzzy Logic Engines;
Integration & Auth Interface: PHP / CodeIgniter Framework;
Data Interchange: CSV, JSON.