ResQCart is an AI-powered system that predicts food waste 3-7 days before it happens and automatically triggers a "rescue cascade" to save products, recover revenue, and feed communities.
- Massive Business Impact: $720M annual savings for retailers
- Social Good: 50M meals rescued for food banks
- Technical Innovation: Predictive AI + real-time dynamic pricing
- Scalable Solution: Clear path from pilot to 4,700+ stores
| Current State | Our Solution |
|---|---|
| $2B+ lost annually to food waste | $720M saved (40% reduction) |
| Reactive markdowns when food is already spoiling | Predictive alerts 3-7 days ahead |
| 80% of near-expiry food goes to landfill | 70% rescued through our cascade system |
| Missed revenue opportunities | $180M recovered through dynamic pricing |
| 38M Americans face food insecurity | 50M meals redirected to communities |
- Inputs: Sales data, weather, local events, historical patterns
- Output: "Product X will waste in 4 days with 89% confidence"
- Action: Trigger rescue protocol automatically
- Day 7-5: 🔄 Rebalance inventory between stores
- Day 4-3: 💰 Dynamic pricing (15-30% off) + customer alerts
- Day 2-1: 🤝 Food bank pickups + employee discounts
- Day 0: ⚡ Flash sales (70% off) + final rescue
-
AI Prediction Dashboard
- Real-time predictions of at-risk products
- Visualization of waste patterns and trends
- Decision support for store managers
-
Store Manager Interface
- At-risk product management
- Rescue request tracking
- Rescue cascade automation
-
Food Bank Portal
- View and claim available food donations
- Schedule pickups and manage logistics
- Track impact metrics
-
Rescue Network
- Connect stores with nearby food banks
- Optimize routes for efficient pickups
- Coordinate rescue operations
- React/TypeScript with Tailwind CSS
- Interactive dashboards and visualizations
- Responsive design for mobile and desktop
- Node.js/Express API
- MongoDB database
- JWT authentication
- Python/FastAPI service
- Computer vision for product detection
- Predictive models for spoilage prediction
- Node.js (v14+)
- Python (v3.8+)
- MongoDB
- Clone the repository:
git clone https://github.com/your-username/resqcart.git
cd resqcart- Install dependencies:
# Backend
cd backend
npm install
# Frontend
cd ../frontend
npm install
# AIML
cd ../aiml
pip install -r requirements.txt- Start the services:
./start-services.sh- Access the application at http://localhost:5173
- Show Live Predictions: "847 bananas will waste tomorrow - 94% confidence"
- Trigger Rescue Actions: Watch automatic price drops and notifications
- Food Bank Coordination: Schedule pickup for remaining items
- Impact Dashboard: Real-time metrics of waste prevented
We welcome contributions! Please see our Contributing Guidelines for more details.
This project is licensed under the MIT License - see the LICENSE file for details.