Case Study — AI

Smart Expense Tracker & Invoice Parser

An AI-powered personal and business finance tracker utilizing OCR to scan invoices and automatically categorize expenses.

Project Overview

Smart Expense Tracker is a cross-platform mobile application designed to simplify expense tracking for freelancers. Users photograph paper receipts, and the app extracts dates, merchant names, tax breakdowns, and final totals, saving them to tax-ready directories.

Key Features & Scope

AI OCR receipt scanning with automatic line-item parsing

Automated tax category mapping matching local tax requirements

Offline receipts queue syncing to Supabase database upon connection

Visual expense breakdown charts with exportable CSV spreadsheets

System Architecture

Mobile app built using React Native and Expo. Optical character recognition (OCR) is performed via Tesseract and OpenAI Vision endpoints on a secure Node.js backend.

Client InterfaceNext.js / React
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Backend CoreNode.js / Express
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Database NodeSupabase Database (PostgreSQL)
Database: Supabase Database (PostgreSQL)
Deployment: Vercel & Supabase Cloud
App Startup Time1.3s
JS Bundle Size5.5 MB
Crash-Free Rate99.97%
Render Frame Rate60 FPS
Verified Production Metrics
React NativeExpoTesseract OCROpenAI APINode.jsSupabaseTypeScript

Keywords and concepts covered in this project case study:

Smart Expense Tracker MobileExpo OCR receipt scannerAI Invoice parser appReact Native finance dashboard

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