KL2300030695

KL2300030695 / VisionRise-s-SurakshaPay-AI

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VisionRise’s SurakshaPay AI is an AI-powered platform designed to provide parametric income protection for workers by using data-driven triggers to automate and accelerate financial assistance during income disruptions. 🚀

surakshapayai.vercel.app
14
1
69% credibility
Found Mar 23, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A responsive web app offering AI-driven parametric insurance for gig delivery workers in India, automatically paying out lost income during weather disruptions or events like heavy rain or extreme heat.

How It Works

1
👤 Hear about SurakshaPay

As a delivery rider for Zomato or Swiggy, you learn about this simple way to protect your weekly earnings from rain or heatwaves.

2
🌐 Visit the website

You open the site on your phone and see how it automatically pays you when bad weather stops your deliveries.

3
📝 Sign up and share details

You enter your name, phone, pick your delivery type like food or groceries, and choose your city.

4
💡 Get your smart quote

The friendly AI looks at your city’s weather risks and gives you a fair weekly price, like just ₹25, with a clear explanation.

5
✅ Start your protection

You confirm and activate – now you're covered for up to ₹500 per bad day, paid straight to your wallet.

6
📱 Watch live alerts

From your dashboard, you check real-time weather and disruptions, plus chat with the AI helper anytime.

🎉 Get paid automatically

When heavy rain hits, money appears in your UPI instantly – no forms, no waiting, just peace of mind to ride safely.

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AI-Generated Review

What is VisionRise-s-SurakshaPay-AI?

SurakshaPay is an AI-powered platform designed to provide parametric income protection for gig workers in India, automating financial assistance during income disruptions like heavy rain or heatwaves. It uses data-driven triggers from live weather APIs to detect events and accelerate zero-touch payouts to workers' UPI wallets, skipping manual claims. Built in TypeScript with Next.js for a responsive web app, it integrates Gemini AI for premium quotes and Guidewire for policy management.

Why is it gaining traction?

It stands out with weekly micro-premiums personalized by AI based on city and worker persona, plus real-time monitoring across six Indian cities. Developers dig the end-to-end demo: onboard, get AI quotes, simulate triggers, and view admin dashboards—all without app downloads. Fraud detection and chat support add polish that hackathon projects often skip.

Who should use this?

Insurtech devs prototyping parametric insurance for gig platforms like Zomato or Swiggy. Teams building data-driven financial tools for emerging markets, or anyone needing a quick MVP with weather-triggered automation and Guidewire mocks. Skip if you're not into full-stack Next.js with MongoDB.

Verdict

Solid hackathon starter at 14 stars—docs are thorough, setup is straightforward with env vars for AI and DB. Low 0.699999988079071% credibility score flags it's early-stage, but fork it to accelerate your insurtech experiments. (198 words)

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