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ResQCart: Food Waste Prediction & Rescue Network

The Big Picture

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.

Why This Wins

  • 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

The Problem (By The Numbers)

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

How It Works

The AI Prediction Engine

  • Inputs: Sales data, weather, local events, historical patterns
  • Output: "Product X will waste in 4 days with 89% confidence"
  • Action: Trigger rescue protocol automatically

The Rescue Cascade (7-Day Countdown)

  • 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

Core Components

  1. AI Prediction Dashboard

    • Real-time predictions of at-risk products
    • Visualization of waste patterns and trends
    • Decision support for store managers
  2. Store Manager Interface

    • At-risk product management
    • Rescue request tracking
    • Rescue cascade automation
  3. Food Bank Portal

    • View and claim available food donations
    • Schedule pickups and manage logistics
    • Track impact metrics
  4. Rescue Network

    • Connect stores with nearby food banks
    • Optimize routes for efficient pickups
    • Coordinate rescue operations

Technical Architecture

Frontend

  • React/TypeScript with Tailwind CSS
  • Interactive dashboards and visualizations
  • Responsive design for mobile and desktop

Backend

  • Node.js/Express API
  • MongoDB database
  • JWT authentication

AI/ML

  • Python/FastAPI service
  • Computer vision for product detection
  • Predictive models for spoilage prediction

Getting Started

Prerequisites

  • Node.js (v14+)
  • Python (v3.8+)
  • MongoDB

Installation

  1. Clone the repository:
git clone https://github.com/your-username/resqcart.git
cd resqcart
  1. Install dependencies:
# Backend
cd backend
npm install

# Frontend
cd ../frontend
npm install

# AIML
cd ../aiml
pip install -r requirements.txt
  1. Start the services:
./start-services.sh
  1. Access the application at http://localhost:5173

Demo Flow

  1. Show Live Predictions: "847 bananas will waste tomorrow - 94% confidence"
  2. Trigger Rescue Actions: Watch automatic price drops and notifications
  3. Food Bank Coordination: Schedule pickup for remaining items
  4. Impact Dashboard: Real-time metrics of waste prevented

Contributing

We welcome contributions! Please see our Contributing Guidelines for more details.

License

This project is licensed under the MIT License - see the LICENSE file for details.