Sanctii

Sanctii is an all-in-one healthcare management platform that streamlines care by organizing medical information and simplifying communication for both patients and doctors.

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Sanctii

Inspiration

Modern healthcare faces critical bottlenecks before a patient even enters a hospital: long wait times, ambiguous triage, and fragmented scheduling. These inefficiencies create stress for patients and overload medical staff.

Sanctii was born from the vision to harness AI, computer vision, and real-time data to streamline patient intake, optimize hospital routing, and deliver a seamless healthcare experience for all.

What is Sanctii?

Sanctii is an intelligent healthcare platform that connects patients, doctors, and hospitals through automation and real-time insights.

Key Features

  • AI Symptom Triage: Patients describe symptoms and receive instant, AI-powered guidance on care severity and recommended facilities.
  • Smart Hospital Routing: Geolocation and mapping APIs find the nearest hospitals, estimate travel times, and display live wait data.
  • Automated Scheduling: Gemini AI coordinates appointments, optimizes patient flow, and reduces bottlenecks.
  • Health Card Scanning: Computer vision and OCR extract patient info from health cards, eliminating manual entry.
  • Live Vital Monitoring: Presage simulates and visualizes real-time vitals for clinicians.
  • 3D Hospital Visualization: Immersive, interactive hospital maps powered by Three.js.
  • Secure Patient Data: All records are stored securely in MongoDB, with enterprise-grade Auth0 authentication.

How We Built It

Frontend

  • React: Modular, scalable UI framework.
  • TailwindCSS: Rapid, responsive styling.
  • Three.js: Interactive 3D hospital visualizations.

Backend & APIs

  • FastAPI (Python): High-performance API endpoints.
  • MongoDB: Secure, persistent data storage.
  • Google Maps API: Geolocation and routing.
  • Gemini AI API: Intelligent scheduling and triage.
  • Google Cloud: Scalable infrastructure.

Computer Vision & OCR

  • Python + OpenCV: Image preprocessing.
  • OCR: Accurate health card data extraction.

Challenges

  • System Integration: Unifying AI, OCR, mapping, scheduling, and 3D visualization into a seamless platform.
  • OCR Accuracy: Overcoming lighting, positioning, and image quality issues with advanced OpenCV preprocessing.
  • Real-Time Data Coordination: Ensuring location, routing, and UI updates remain synchronized and responsive.
  • 3D Performance: Balancing visual fidelity and smooth rendering in Three.js.

What We Learned

  • AI + Real-World Infrastructure: Dramatically improves healthcare workflows.
  • Computer Vision: Simplifies and accelerates patient intake.
  • Frontend Architecture: Essential for real-time, interactive healthcare UIs.
  • Scalable Backend: Careful API orchestration is key for performance.
  • Interdisciplinary Tech: Combining AI, mapping, vision, and 3D unlocks real-world solutions.

What’s Next

  • Integrate real hospital wait-time data
  • Expand AI Doctor with medical datasets
  • Add secure patient portals for long-term records
  • Support telemedicine and remote consultations
  • Deploy across multiple healthcare networks

Our vision: Help patients reach the right care faster, while reducing administrative burdens for providers.

Built with ❤️ for healthcare

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