selva-345/incomeshield-ai

IncomeShield AI is a prototype platform designed to automatically compensate gig workers in India when real-world conditions prevent them from earning. The primary target users are delivery partners on food, grocery, and e-commerce platforms, whose income depends entirely on being able to work on any given day. The core idea is called parametric insurance. Rather than asking workers to file claims and wait for approval, the system watches external data feeds for weather, air quality, and traffic. When conditions cross a defined threshold, such as heavy rain, dangerously high pollution, extreme heat, or major traffic disruption, a payout is triggered automatically. No forms to fill out, no waiting period. Workers sign up, choose their city, and the system calculates a weekly premium based on a risk score tied to local conditions. The premium adjusts dynamically: lower risk weeks cost less, higher risk weeks cost more. When a trigger event is detected and validated, the payout is processed right away. The README describes fraud prevention as part of the design. The system validates location, tracks behavior patterns, and cross-checks data from multiple sources to avoid false payouts while still protecting legitimate users. The technology described includes a React and Tailwind frontend, a Node.js backend for logic simulation, and real-time API connections for weather and air quality data. The README notes that current integrations are simulations and that more accurate real-time data, expansion to more cities, and direct integration with gig platforms are planned improvements. A live demo and a video walkthrough are linked in the README. This appears to be a project submission or prototype rather than a production system.