MedVoy AI

Inspiration

Navigating medical travel is overwhelming. Prices vary by thousands of dollars. Hospitals rarely publish transparent cost breakdowns. Patients are forced to bounce between Google searches, outdated blogs, WhatsApp groups, and random travel websites.

At the same time, healthcare costs in developed countries like the U.S. continue to explode:

U.S. healthcare spending reached $4.9 trillion in 2023 — about $14,570 per person.

Healthcare now consumes 17.6% of U.S. GDP.

Costs grew 7.5% year-over-year from 2022 to 2023 alone.

44% of adults say it’s difficult to afford healthcare, and 36% delay treatment because of cost.

Employer health coverage is expected to rise 6.5% in 2026, the steepest increase in 15 years.

This crisis pushes millions to seek treatment abroad — but there is no single source for transparent medical costs, quality-verified hospitals, or travel-ready planning.

I realized:

What it does

MedVoy AI is an end-to-end AI concierge for medical travel. It provides: ✅ Real-time cost estimation AI-generated cost ranges for procedures (e.g., rhinoplasty, IVF, knee replacement) across multiple countries. ✅ Hospital & surgeon matching Recommends top hospitals based on ratings, accreditation, specialties, and pricing models. ✅ Travel planning Estimates flights, hotels, transportation, and recovery accommodations. ✅ Personalized intake Learns budget, travel dates, companions, hotel preferences, and medical needs. ✅ Conversational AI A warm, guided chat built on Lovable that feels like a personal concierge. ✅ Robust backend Powered by LiquidMetal Raindrop, enabling fast API generation, deployment, and database logic. 🗄️ Enhanced data capabilities

Freepik API: Procedure and destination imagery

Firecrawl: Web scraping for hospital info & procedure descriptions

Supabase: Optional persistent user history, logging, and session data

RapidAPI (optional): Hotel and flight price integration

🛠️ How we built it

Lovable AI – conversational front-end and user experience

LiquidMetal Raindrop – AI-generated backend scaffolding, APIs, SmartSQL, and deployment

Node.js + Express – custom logic for cost breakdowns

SQLite + SmartSQL – procedures, hospitals, pricing logic

Supabase – user session storage + history saving

Freepik API – real-time medical & destination images

Firecrawl – automated scraping of hospital pages and medical info

Curl & API testing – validating compute and routing

Render – full backend deployment for public API access

RapidAPI (optional) – real-time hotel/flight pricing integration

🧱 Challenges we ran into

Ensuring Raindrop’s backend deployed properly on Render

Debugging GitHub auth issues during deployment

Handling SQLite file path issues on cloud hosting

Structuring the agent so Lovable only calls the API when all fields are valid

Managing CORS & JSON body validation

Integrating Firecrawl and Freepik in a stable, scalable way

Condensing a full medical-tourism workflow into an MVP under hackathon time constraints

🏆 Accomplishments we’re proud of

Fully working backend API deployed via LiquidMetal Raindrop & Render

AI concierge that collects patient info and gives real, structured cost estimates

Hospital recommendation engine with accreditation metadata

Freepik-integrated medical imagery

Firecrawl-powered hospital insights

Clean JSON breakdown with low/high ranges

Supabase-ready session persistence

A fully functional medical tourism prototype built in one sprint

Architecture that is ready for global real-time travel pricing & booking integrations

📚 What we learned

How to combine multiple AI tools (Lovable + Raindrop) into one seamless product

How to design agent flows that require structured API calls

How to deploy and debug a Raindrop-generated backend on cloud hosting

How to cleanly integrate Freepik, Firecrawl, and additional APIs

How to calculate medical costs in a standardized ratio-based model

The complexity of pricing across hospitals, countries, and travel logistics

How AI can meaningfully simplify medical travel — not just chat about it

🚀 What’s next for MedVoy AI

Fully integrate real-time flight APIs (Skyscanner, Amadeus)

Add Booking.com/Expedia hotel price integration

Scrape real procedure prices using Firecrawl at scale

Build a hospital verification index (accreditation, JCI, mortality rates, patient reviews)

Allow users to generate full itineraries including flights, transfers, surgery dates, hotel stays

Payment & booking flow with secure checkout

Mobile app via Flutter or React Native

Partnerships with accredited hospitals worldwide

Dynamic image library using Freepik for every procedure and location

Supabase-powered user dashboards for storing estimates, comparing prices, and saving trips

Ultimately, MedVoy AI aims to become the world’s most trusted medical travel concierge — transparent, safe, and beautifully simple.

Built With

• firecrawl
• freepik
• liquid-metal
• lovable
• supabase