2025 · System

Room-CanCell: AI-Driven Patient Room Automation

Overview

For children undergoing cancer treatment at Prinses Máxima Centrum, the hospital environment can significantly impact their comfort and recovery. Room-CanCell demonstrates how AI can transform a patient’s room into a responsive space that adapts to their needs in real-time.

The system monitors patient vitals and uses AI to make decisions about environmental controls—adjusting lighting, playing calming music, or creating the right atmosphere based on the patient’s current state. Built for the Solve with Google Hackathon’s BeatSuite case, our team was selected as the only group to present our solution for improving pediatric cancer patient care through intelligent room automation.

The project consists of three integrated applications: an AI decision-making engine that processes patient data, a 3D room simulator that visualizes and controls the environment, and a vital signs interface that feeds real-time health metrics into the system. The architecture demonstrates bi-directional data flow, with vitals flowing from sensors to the AI orchestrator, which then recommends interventions that the room applies automatically.

Key Contributions

Real-time patient vital monitoring with AI-driven environmental responses
3D visualization of hospital room with dynamic lighting and music controls
Modular architecture with three independent applications working in concert
Simulated wearable data interface for testing and demonstration
Optional Google Vertex AI integration for advanced decision-making
Docker-based deployment for easy setup and scalability

Technical Stack

Backend: Python (Flask), Node.js (Express)
Frontend: Three.js for 3D room visualization
AI/ML: Google Vertex AI (Gemini)
Infrastructure: Docker, Docker Compose
Architecture: Microservices with REST APIs

Team

Ramin, Daniele, Onur, and Osman Semih Kayhan

Impact