A high-fidelity medical IoT application prototype designed for real-time monitoring of air quality and biometric data. This platform serves as a centralized dashboard for health-conscious environments, transforming raw sensor data into actionable health insights.
Developed as a Rapid MVP (Minimum Viable Product) to demonstrate the integration of AI-driven data interpretation with modern web interfaces. The focus was on creating a highly responsive, "glanceable" dashboard for critical health metrics.
- Frontend: TypeScript + React
- Styling: Tailwind CSS for medical-grade UI/UX clarity.
- Logic: AI-orchestrated data simulation and visualization logic.
- Platform: Deployed and hosted on Vercel.
- Real-time Health Telemetry: Simulated live tracking of SpO2, Heart Rate, and Ambient Air Quality.
- Anomalous Detection Logic: Integrated visual alerts for biometric readings outside of standard safety thresholds.
- Cross-Platform Accessibility: Fully responsive design for both desktop clinical viewing and mobile patient monitoring.
This prototype explores the future of Assisted Healthcare Engineering, where AI tools are used to rapidly scaffold complex monitoring interfaces, allowing engineers to focus on high-level data accuracy and user safety.