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BioGuard AI — IoT Vitals Early Warning System
Real-Time NEWS2 Machine Learning Predictor & MedGemma Clinical Agent
FastAPI Backend Connected (Port 8000)
Quick Test Scenarios:
🟢 Stable at Home
🟡 Mild Fever & Tachycardia
🟠 Respiratory Distress
🔴 Critical Deterioration / Shock
⚡ Live IoT Simulation Stream
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Real-Time Wearable & App Telemetry
Auto-evaluates on change
❤️ Heart Rate
72 bpm
🫁 SpO2 (Oxygen)
98 %
🌡️ Temperature
36.8 °C
🩸 Systolic BP
120 mmHg
💨 Resp. Rate
16 /min
🧠 Consciousness
Alert (Fully conscious - A)
Voice (Responds to Voice - V)
Pain (Responds only to Pain - P)
Unresponsive (Unconscious - U)
🧴 On Supplemental O2?
Room Air (No)
On Oxygen (Yes)
🎯 O2 Target Scale
Scale 1 (Standard Patient)
Scale 2 (COPD / Hypercapnic Risk)
Predicted Patient Risk Level
NORMAL
Patient is stable in home recovery
Confidence & Multi-Class Probability
Normal (Stable)
0.0%
Low Risk
0.0%
Medium Risk
0.0%
High Risk (Critical)
0.0%
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MedGemma Clinical Agent
AI Trend Reasoning
🔍 Clinical Observations
All monitored vital signs within baseline ranges
📱 Patient Mobile App Advice
All vitals are within normal, healthy parameters. Continue regular daily recovery activities.
👨⚕️ Clinician SBAR Note
SBAR ASSESSMENT: Patient is clinically stable. All vital signs conform to baseline benchmarks.