Green Ledger / Project GLIA
AI Nutrition Intelligence
The "Google Maps for Nutrition" - an AI-powered app that reveals invisible quality differences in groceries using supply chain data.
Tech Stack
The Challenge
The "Olive Oil Problem": Two bottles of olive oil, identical on the shelf, can have a 20x difference in nutritional value. Harvest date, container type, processing methods, and storage conditions all dramatically affect quality—but consumers have no way to see these invisible differences.
Green Ledger needed to build a system that could surface supply chain truth and calculate a "Nutrition per Dollar" score for every product.
Our Solution
Vision AI Scanner
Integrated Google Vision AI (Gemini 1.5 Pro) to scan product labels, extract harvest dates, certifications, and nutritional claims with OCR, enabling instant analysis.
Trust Waterfall System
Built a weighted trust algorithm: Lab Data (100%) → User Proof (90%) → Label Claim (40%) → AI Guess (20%), ensuring data reliability and transparency.
React Native Mobile App
Created a mobile-first experience with camera integration, offline sync, GPS location tracking, and beautiful data visualizations using Framer Motion.
Supabase Backend
Leveraged PostgreSQL with Row-Level Security for user data, product database, and supply chain records, with real-time sync across devices.