SnapTrack: Automated Expense Logger
Uploading image will trigger workflow to read it and input the expense record
Simple summary in Telegram BOT
An automated expense tracking application that captures spending data via a Telegram bot using text or OCR, and visualizes financial habits on a responsive web dashboard.
Goal
Create a frictionless system where expenses could be recorded instantly from a phone with a simple message or a photo of a receipt.
Key Contributions
- Engineered an automated workflow using n8n to process all incoming data from the Telegram API.
- Integrated Google Vision API for its OCR capabilities to accurately parse and extract transaction details from receipt images.
- Developed a clean, responsive web dashboard with ReactJS to display expense statistics and financial insights.
- Utilized Supabase and PostgreSQL to reliably store and manage all transaction and user data.
Technical Specifications
n8nGoogle Vision APIReactJSPostgreSQLTelegram Bot APISupabase