Inspiration
Freelancers and clients frequently face trust issues, payment disputes, and fake deliverables due to a lack of automated, verifiable milestones. We wanted to solve this by combining autonomous AI validation with secure escrow transactions.
What it does
PayGuard AI Escrow is an autonomous platform that takes user project requirements and uses Google Gemini AI to break them down into structured, verifiable milestones with custom deliverables and payment breakdowns. Buyers can securely lock funds into escrow using the PayPal REST API for each milestone.
How we built it
- Frontend & Backend: Built using Next.js for a fast, responsive user interface and seamless API routing.
- AI Engine: Integrated Google Gemini AI to dynamically parse requirements and generate intelligent milestones.
- Payment Gateway: Configured PayPal REST Sandbox API to handle secure escrow payments.
- Deployment: Deployed successfully onto Vercel for production-grade speed and reliability.
Challenges we ran into
Integrating the dynamic AI milestone parsing flow with secure sandbox payment states while maintaining a clean, zero-dependency user experience required careful state management and robust API handling.
What we learned
We gained deep hands-on experience combining LLM prompt structures with real-world payment gateway integrations (PayPal API) to build a fully functional, production-deployed micro-SaaS application.
Built With
- gemini
- next.js
- paypal
- tailwind
- typescript
- vercel
