AI Receipt Scanner Cuts Monthly Close to 6 Hours
SpeedMVPs delivered a React Native + Next.js expense tracking MVP in 3 weeks, integrating Google Vision API for OCR receipt extraction and a fine-tuned GPT-4o classification layer that maps line items to 48 merchant categories with 94% accuracy. The backend runs on Supabase (pgvector for semantic search across past expenses) with a real-time insights dashboard surfacing weekly spend anomalies via a lightweight RAG pipeline: all deployed on Vercel Edge with a Plaid integration for bank-feed reconciliation.
Fintech / Consumer
Industry
3 Weeks
Timeline
Project Overview
1
What We Built
- SpeedMVPs delivered a React Native + Next.js expense tracking MVP in 3 weeks, integrating Google Vision API for OCR receipt extraction and a fine-tuned GPT-4o classification layer that maps line items to 48 merchant categories with 94% accuracy. The backend runs on Supabase (pgvector for semantic search across past expenses) with a real-time insights dashboard surfacing weekly spend anomalies via a lightweight RAG pipeline: all deployed on Vercel Edge with a Plaid integration for bank-feed reconciliation.