FoodBridge classifies surplus food from supermarkets, restaurants, hotels, and smart fridges as edible or inedible, then routes it: edible surplus to the districts with the greatest unmet need, inedible waste to biogas and waste-to-energy plants. Hotel waste is predicted from occupancy data, adjusted with live weather and city-event signals, before it happens.
Food is wasted daily across supermarkets, restaurants, and hotels. Meanwhile thousands of people in Amsterdam lack reliable meals, and inedible waste too often ends up landfilled instead of generating clean energy.
Every record — reported, predicted, or auto-logged — goes through the same classify → calculate → route pipeline.
Supermarkets (near-expiry stock), restaurants (prepared-food surplus), hotels — where instead of a waste report, occupancy data predicts expected breakfast-buffet, restaurant, and banquet surplus before it's thrown out — and smart fridges, where shelf-weight IoT sensors report fill level automatically, with an onboard camera loop intended to identify contents via Claude vision (not live in this demo — it currently falls back to a shelf-weight-based estimate).
Each record is classified edible or inedible. Edible items get a nutrition/calorie lookup (live Open Food Facts, offline fallback); inedible items get a waste-type check.
Edible → matched to the Amsterdam district with the greatest unmet meal need. Inedible → routed to the nearest compatible biogas/waste-to-energy facility, with an energy-yield estimate.
FoodBridge directly aligns with the UN's SDGs by tackling food waste, hunger, and clean energy generation simultaneously.
By routing inedible waste to Biogas and Waste-to-Energy plants, we contribute to local clean energy production and circular economy.
We reduce food loss and waste at the retail and consumer levels, maximizing the utility of every kilogram of food produced.
Diverting food waste from landfills significantly reduces methane emissions, actively lowering our overall CO2 footprint.
The dashboard blends a live weather feed with city-event awareness into a single spoilage-surge % signal, feeding a rolling 7-day forecast chart broken out per source category — supermarket, restaurant, and hotel.
Real integrations are marked green; deliberately-stubbed integration points (no partner credentials available for a hackathon demo) are marked amber.
Records flow through classification, nutrition/energy calculation, and routing on a live Amsterdam map — operated by the FoodBridge team via a private, authenticated dashboard.