💡 Inspiration
In many countries, citizens wait for hours or even days for medical care without knowing their position in the queue or which doctors are available. This lack of transparency creates frustration, corruption, and unnecessary suffering. HealthQueue 360 was born to bring clarity, fairness, and trust to public healthcare through AI and automation.
⚙️ What it does
HealthQueue 360 is a transparent public healthcare management platform powered by Google Cloud Run and AI Studio (Gemini). It allows patients to:
Register with their name, CPF, and symptoms.
Receive an AI-based triage that determines the most suitable medical specialty.
See which doctors are on duty and how many patients are in line.
Access digital prescriptions at partner pharmacies — without paperwork.
Track all consultations and statistics in real time.
For doctors, it provides tools to record diagnoses and prescriptions. For pharmacies, it enables a secure and paperless dispensing process. Everything is automated and stored in Firestore, ensuring consistency and scalability.
🛠️ How we built it
Frontend: HTML, JavaScript, Tailwind CSS
Backend: Node.js + Express
AI Layer: Gemini AI model via Google AI Studio
Database: Google Firestore (NoSQL)
Deployment: Google Cloud Run (services + jobs)
Automation: Cloud Scheduler for maintenance and metrics updates
Architecture: Fully serverless and modular, easy to scale to multiple cities and states
⚡ Challenges we ran into
Balancing AI decision-making with medical responsibility.
Managing asynchronous Firestore updates to ensure real-time queue accuracy.
Designing a clear and accessible interface for both citizens and healthcare professionals.
Deploying consistent environments on Cloud Run while maintaining fast cold starts.
🏆 Accomplishments that we're proud of
Fully functional MVP deployed and accessible online.
Seamless integration between AI Studio (Gemini), Firestore, and Cloud Run.
Created a real-time transparent dashboard that citizens can trust.
Built an extensible foundation for nationwide public health management.
🧠 What we learned
How to use Gemini AI within real-world medical logic flows.
The power of serverless systems for fast prototyping and scaling.
The importance of human-centered AI — combining automation with empathy.
How Google Cloud tools make innovation accessible and globally deployable in minutes.
🚀 What's next for HEALTHQUEUE 360
Expand the system to cover multiple states and cities, integrating local APIs.
Add real-time doctor attendance tracking via electronic time systems.
Improve AI diagnostic validation with Gemini Flash summarization.
Connect with external public pharmacies and hospital systems.
Develop a mobile version for citizens to check their queue position anywhere.
Share the open-source project for governments and NGOs to adopt worldwide.
Built With
- cloud-run-jobs
- cloud-scheduler
- docker
- express.js
- git
- google-ai-studio-(gemini)
- google-cloud-run
- google-firestore
- googlecloudsdk
- html
- javascript
- node.js
- tailwind-css
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