Over 8 million gig-economy workers (delivery partners, ride-share drivers) in India lose their daily wages when extreme weather strikes. Traditional insurance is slow, requires tedious paperwork, and physically does not function for low-wage daily earners.
GigShield is a zero-friction, algorithmic parametric insurance application explicitly designed to protect the wages of daily gig workers. Using localized weather mapping and automated ledger contracts, GigShield completely automates the traditional insurance pipeline.
- ❌ No form submissions
- ❌ No damage assessment waiting periods
- ❌ No confusing premium clauses
When heavy rain disrupts a specific micro-zone, the AI system simulates the baseline disruption, verifies the risk threshold, and autonomously processes a cash payout to the affected worker's UPI wallet within minutes.
- Live Parametric Map Overlay: Deep Vector graphics tracking real-time high-risk and safe zones mapping.
- Cinematic Event Handling: App autonomously intercepts high-rainfall triggers and instantly spawns event modals displaying processing metadata.
- Algorithmic Claim Timelines: Claim lifecycles are generated on the spot using mathematical disruption evaluations.
- Dark-Mode Native Framework: Built on a deeply integrated, ultra-lightweight dark mode architecture protecting OLED screens and battery life for riders.
- Cross-Platform: Transpiles physically to Android
.apk, iOS apps, and a universal Web application via Expo.
- Features: City risk, seasonal factors, zone flood history, exposure hours, claims history, earnings bracket
- Mechanism: Weights trained on longitudinal Indian weather disruption patterns and payout histories
- Output: Personalized dynamic weekly premium (Rs.25–Rs.120) with live confidence scoring returned directly to the user dashboard.
- Detection Signals: Weather corroboration API, amount vs baseline, claim frequency, account aging, hours claimed timeline, reporting anomaly deviation.
- Mechanism: Isolation Forest-inspired z-score outlier detection models calculating a mathematically rigorous
Fraud Score. - Output: Intelligent automated routing —
Auto-approve(score < 25),Flag for review(25-60), orReject/Investigate(> 60). Ensures sustainable platform liquidity.
- Live API Telemetry: Deep latency-free ingestion of OpenWeatherMap data coordinates with intelligent graceful
Smart Mock Fallbackfor uninterrupted UX during rate limits. - Conditionals: Season-aware monsoon/summer algorithms mapped to 5 distinct parametric triggers (Rain, Heat, AQI, Curfew, Outages).
- Frontend Core: React Native, Typescript, Expo Router
- Database & Auth: Supabase (PostgreSQL), Zustand State Management
- UI Architecture: Custom-built Zero-Dep Design System featuring Spring Physics &
react-native-svg - Deployments: EAS Build Pipeline (Android), Netlify (Web)
We have natively optimized the client to run under Expo.
- Clone the repository:
git clone https://github.com/your-username/GigShield.git cd GigShield - Install dependencies:
npm install
- Start the Engine:
npx expo start
To run physical APK simulations, use EAS Build. Or easier way(RECOMMENDED) follow this link
https://expo.dev/accounts/slayerexe/projects/GigShield/builds/530d85a4-9ae6-4b49-bf89-3b333af380c0
and click install this will download the .apk and can be used like a real app.
Built for impact. Protected by code.