๐ฑ FoodLoop โ Turning Campus Food Surplus into Climate Action
๐จ The Problem
At Rutgers University and campuses everywhere, large amounts of edible food are wasted daily due to overproduction, poor planning, and lack of coordination.
- Dining halls prepare excess food โjust in caseโ
- Student organizations over-order for events
- Restaurants and vendors discard unsold items
- There is no real-time system to redirect surplus before it becomes waste
Meanwhile, food banks face shortages, and valuable organic waste ends up in landfills, contributing to greenhouse gas emissions.
๐ก Our Solution
FoodLoop is a real-time food redistribution and prevention platform that ensures surplus food is used at its highest value before becoming waste.
We donโt just redistribute food, we optimize the entire lifecycle:
Predict โ Prevent โ Redistribute โ Track Impact
Check out our OPERATIONS_BRIEF.md file as well.
โ๏ธ How It Works
๐ง 1. AI Planning Layer (Prevention)
FoodLoop uses AI-powered insights to help providers reduce overproduction:
- Predict how much food to prepare/order
- Analyze historical trends and attendance
- Suggest optimal quantities
Example: โPrepare 18 trays instead of 25 based on expected turnoutโ
โฐ 2. Surplus Detection
The system proactively identifies potential waste:
- Alerts when excess food is likely
- Prompts early action before disposal
- Encourages timely redistribution
๐ 3. Real-Time Redistribution Portal
A live platform connecting food providers and recipients:
- Dining halls, restaurants, and student orgs post surplus food
- Food banks, students, and farmers can request or claim food
- Real-time updates ensure fast coordination
๐ 4. Priority Routing System
FoodLoop ensures food is used in the most impactful way:
- ๐ฅ Feed People โ Food banks, shelters, students
- ๐ฅ Secondary Use โ Farms (animal feed)
- ๐ฅ Compost โ Sustainable disposal as a last resort
๐ 5. Smart Matching & Logistics
- Matches supply with nearby demand
- Enables quick claim and pickup coordination
- Reduces time-sensitive waste
๐ 6. Impact Tracking
FoodLoop provides measurable environmental and social impact:
- Meals saved
- Food waste reduced
- COโ emissions avoided
๐ฅ User Roles
- Dining Halls / Restaurants
- Food Banks / Organizations
- Farmers
- Admins (campus sustainability teams)
๐งช Demo Scenario
A student organization hosts an event at Rutgers University:
- FoodLoop predicts how much food to order
- Surplus is detected after the event
- Organizer posts leftovers instantly
- Nearby users and food banks are notified
- Food is claimed and picked up
- Dashboard updates with impact metrics
๐ ๏ธ Technical Implementation
- Frontend: React
- Backend: Supabase
- AI Layer: Lightweight prediction models
- Data Sources: Food purchasing datasets (Spring 2021โ2025)
- Deployment: Web-based platform
๐ Why It Matters
FoodLoop tackles both sides of food waste:
- Prevention: Reduce overproduction
- Redistribution: Feed people first
๐ What Makes FoodLoop Unique
- Combines AI prediction + real-time redistribution
- Priority-based sustainability system
- Built for campus ecosystems
๐ฎ Future Improvements
- Better ML models
- Expansion beyond campus
- Logistics optimization
- Mobile app
๐ Closing Statement
FoodLoop transforms food waste into impact.
Less waste. More meals. Lower emissions.
Built With
- featherless-api
- next.js
- python
- qwen-2.5-7b
- recharts
- scikit-learn
- shadcn/ui
- tailwind-css
- xgboost
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