ElementEdge Monitoring is an advanced monitoring and visualization tool designed to aid in managing emergencies, monitoring vital signs, and providing real-time geolocated data for enhanced decision-making. The platform integrates IoT devices, interactive maps, AI, and chat functionality to deliver a comprehensive solution for both frontline workers and their administrators.

1. app.py:

   • The main application script for the ElementEdge Monitoring platform.
   • Built using Dash, Dash Leaflet, and Dash Bootstrap Components, this script provides:
     • Interactive Map:
       • Displays geolocated markers for fires, rescued individuals, and firefighters.
       • Real-time selection and interaction with markers to view details.
     • Vital Sign Monitoring:
       • Graphs for heart rate, oxygen level, temperature, and blood pressure, updated every second with simulated data.
     • Video Feed:
       • Integrates a real-time camera feed for additional situational awareness.
     • Chat Functionality:
       • Enables communication via a simulated chatbot interface.
     • Dynamic Marker Interaction:
       • Allows marker selection on the map, with icons dynamically updated to reflect selections.
   • Uses OpenCV to manage the video feed and Plotly for generating visualizations.

2. Architecture.svg:

   • High-level diagram illustrating the system's architecture.
   • Explains how data flows between hardware (sensors, cameras), software components (AI agents, Qualcomm RB3), and visualization layers (AR and dashboard).

3. AgentHierarchy.svg:

   • Displays the hierarchy and roles of AI agents, the manager, and the firefighter.
   • Highlights how agents handle tasks like medical support, danger assessment, and information sharing.

4. HardwareArchitecture.svg:

   • Explains the physical connections between components, including sensors (e.g., heart rate, oxygen), Arduino, Qualcomm RB3, cameras, microphones, and speakers.
   • Demonstrates how data is collected, processed, and relayed to the cloud or visualized on the map.

1. Data Input:

   • Sensors: Simulated data for heart rate, oxygen level, temperature, and blood pressure is updated every second.
   • Camera Feed: Captures real-time video for visual situational awareness.
   • Markers: Randomly placed on the map with roles (fire, rescued individuals, firefighters) and interactive tooltips.

2. Real-Time Interaction:

   • Interactive Map:
     • Displays dynamic markers, each with a specific role and detailed information.
     • Selection of a marker highlights it and displays additional information in the side panel.
   • Vital Signs Monitoring:
     • Live graphs visualize trends for heart rate, oxygen, temperature, and blood pressure.
   • Chat System:
     • Enables bidirectional communication with a simulated chatbot.

3. Visualization and Feedback:

   • Graphs: Provide immediate insights into vital trends.
   • Marker Details: Clicking on a marker shows detailed information about the person or situation.
   • Camera Feed: Provides real-time video for enhanced context.

4. Customization:

   • The UI uses a custom palette for a professional look and feel.
   • Background gradients and animations add a polished aesthetic to the application.

1. Clone the repository:

   git clone <repository-url>
   cd ElementEdge

2. Install dependencies:

   pip install -r requirements.txt

3. Run the application:

   python app.py

4. Access the application at http://127.0.0.1:8050 in your web browser.

• Integration with real IoT sensors for live vital data.
• Adding predictive analytics using AI for early warnings.
• Expanding map functionalities with more granular geospatial data.
• Supporting AR-based visualization for enhanced situational awareness.