A project that utilizes AI and data-driven solutions to revolutionize emergency healthcare by providing an AI-powered triage and ambulance routing platform.

The Smart Health Emergency System is an innovative platform designed to transform emergency care. This initial version addresses critical challenges in healthcare emergency response with three core components:

AI Triage Engine: An intelligent system for patient risk classification.

Route Optimization: A fast and efficient algorithm for optimal ambulance routing.

Clinical Dashboard: A real-time monitoring and decision support tool for medical professionals.

This engine processes six vital patient parameters to classify risk.

Parameters: Temperature, SpO₂, Heart Rate, Blood Pressure, Age

Rules: Uses 529 medically-valid rules based on fuzzy logic (implemented with Python/simpful) to classify a patient's status.

Output: Provides a status (Stable/Serious/Critical) and a risk score from 0-100.

This component ensures ambulances are routed optimally to their destination.

Integration: Utilizes a real-world road network (osmnx).

Logic: Penalizes unsuitable paths like footpaths or residential streets to provide realistic and safe routes.

Performance: Achieves a rapid response time of 2-4 seconds for emergency routing.

A real-time dashboard for enhanced clinical decision-making.

Python: Primary programming language

Streamlit: For building the interactive dashboard

Simpful: For the fuzzy logic triage engine

OSMnx: For integrating and analyzing the road network data

NetworkX: For graph and network analysis

Folium: For visualizing interactive maps