🚀 DeliveryShield – AI-Powered Parametric Insurance Platform

📌 Overview

DeliveryShield is an AI-driven parametric insurance platform designed for India’s gig economy workers such as delivery partners from Zomato, Swiggy, Amazon, and similar platforms.

The platform provides automated income protection against external disruptions like extreme weather, pollution, and curfews, ensuring that gig workers do not lose their earnings due to uncontrollable conditions.

Unlike traditional insurance, DeliveryShield uses parametric triggers + AI models to enable instant claim processing and payouts without manual intervention.

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🎯 Problem Statement

Gig workers often lose 20–30% of their income due to:

• 🌧 Heavy rain or floods
• 🌡 Extreme heat
• 🌫 High pollution
• 🚫 Curfews or strikes

Currently, there is no reliable income protection system, forcing workers to bear financial losses alone.

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💡 Our Solution

DeliveryShield provides a smart, secure, and automated platform with:

• 🔍 AI-based fraud detection
• 📊 Risk assessment engine
• 📍 Location-based safety alerts
• 👤 User authentication & verification
• ⚡ Automated claim triggering & instant payouts
• 📱 Mobile app for delivery agents
• 🌐 Web dashboard for monitoring and analytics

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⚠️ Constraints Followed

• ❌ No health insurance
• ❌ No accident or vehicle coverage
• ✅ Only loss of income protection
• ✅ Weekly pricing model only
• ✅ Fully automated claims system

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🏗️ System Architecture

🔹 Components

• Frontend (Web): React.js + Vite + CSS
• Mobile App: React Native (Expo)
• Backend: Node.js + Express.js
• Database: MongoDB
• AI & Security: Risk scoring + fraud detection algorithms
• APIs: OpenWeather API (or mock APIs)
• Payments: Razorpay (test mode / simulated)

🔄 Workflow

1. User registers/login
2. AI calculates weekly premium
3. User buys insurance policy
4. System monitors external disruptions
5. Trigger detected (e.g., heavy rain)
6. Claim automatically generated
7. Instant payout processed

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🧠 Key Features

👤 User Features

• Secure login & registration (JWT)

• Dashboard showing:

  • Active policy
  • Weekly premium
  • Earnings protected
  • Claim history

• Buy weekly insurance

• View automatic payouts

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🛠 Admin Features

• Monitor users and policies
• Claims analytics dashboard
• Fraud detection logs
• Risk insights & reports

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⚙️ Core Functional Modules

🤖 AI Risk Assessment

• Dynamic weekly premium calculation

• Based on:

  • Location risk
  • Weather patterns
  • Working hours

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⚡ Parametric Triggers

Automatically detects:

• 🌧 Heavy Rain
• 🌡 Extreme Heat
• 🌫 Pollution
• 🚫 Curfew (mock data)

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🔄 Automated Claim System

• No manual claim submission
• Auto-triggered claims
• Instant approval and payout

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🕵️ Fraud Detection

• Detects duplicate claims
• Prevents fake weather claims
• Simulated GPS spoofing detection

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💳 Payment System

• Instant payout simulation
• Transaction tracking

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🧱 Tech Stack

🌐 Frontend

• React.js
• Vite
• CSS

⚙️ Backend

• Node.js
• Express.js
• MongoDB

📱 Mobile App

• React Native (Expo)

🤖 AI & Security

• Fraud Detection Algorithms
• Risk Scoring System
• API-based Threat Analysis

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📁 Project Structure

DeliveryShield/
 ├── backend/        # Node.js + Express API
 ├── frontend/       # React Web App
 ├── mobile-app/     # React Native App (Expo)
 ├── .gitignore
 ├── README.md

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🔗 API Endpoints

Auth

• POST /auth/register
• POST /auth/login

Policy

• POST /policy/create
• GET /policy/view

Claims

• GET /claim/auto-trigger
• GET /claim/history

Admin

• GET /admin/users
• GET /admin/analytics

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🔁 Demo Scenario

Example Use Case

• User: Swiggy delivery partner
• Weekly premium: ₹30
• Event: Heavy rain
• Income loss: ₹800

System Flow

1. Weather API detects rain
2. System triggers claim automatically
3. AI calculates loss
4. Claim approved instantly
5. ₹800 payout shown in dashboard

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⚙️ Installation & Setup

🔧 1. Clone Repository

git clone https://github.com/hitesh788/DeliveryShield.git
cd DeliveryShield

🔧 2. Backend Setup

cd backend
npm install
npm start

🔧 3. Frontend Setup

cd frontend
npm install
npm run dev

🔧 4. Mobile App Setup

cd mobile-app
npm install
npx expo start

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🔐 Environment Variables

Create a .env file inside backend/:

PORT=5000
MONGO_URI=your_mongodb_connection_string
JWT_SECRET=your_secret_key
OPENWEATHER_API_KEY=your_api_key

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✨ Key Features

✅ Real-time fraud detection ✅ AI-based risk analysis ✅ Secure authentication system ✅ Claims & policy management ✅ Mobile interface for delivery agents ✅ Web dashboard for monitoring ✅ API integration for external risk data

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📸 Screenshots

(Add before submission)

• Web Dashboard
• Login/Register UI
• Mobile App Screens
• Alerts & Notifications

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🚀 Future Enhancements

• 🔮 Advanced ML-based fraud prediction
• 📡 Live GPS tracking
• 🔗 Integration with delivery platforms (Swiggy, Zomato)
• 🔊 Voice-based emergency alerts
• 🧠 AI chatbot for assistance

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🌍 Impact

• Provides financial security to gig workers
• Reduces income uncertainty
• Promotes micro-insurance adoption
• Supports India’s gig economy

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🏆 Hackathon Submission

Developed for: Guidewire DEVTrails University Hackathon 2026

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📜 License

This project is created for educational and hackathon purposes.

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❤️ Acknowledgements

• Open-source community
• Hackathon organizers
• Cybersecurity & AI research resources

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⭐ Support

If you like this project, give it a ⭐ on GitHub!