SentinelScope

Smart monitoring for faster, safer emergency response

Comment 1

Inspiration

Emergencies require rapid response and real-time situational awareness. We wanted to create a solution that empowers frontline workers with AI-driven insights, geospatial tracking, and vital sign monitoring to enhance decision-making and save lives.

What it does

SentinelScope provides a real-time emergency monitoring platform with:

  • Geospatial Tracking: Displays incidents, responders, and rescued individuals on an interactive map.
  • Vital Sign Monitoring: Tracks heart rate, oxygen levels, temperature, and blood pressure in real time.
  • Live Video Feed: Offers visual situational awareness through integrated camera feeds.
  • AI-Powered Chat: Simulated chatbot for communication and assistance.

How we built it

  • Tech Stack: Built using Dash, Dash Leaflet, Plotly, and OpenCV for seamless UI/UX.
  • Data Processing: Simulated IoT sensor data is updated dynamically every second.
  • Visualization: Interactive dashboards, real-time charts, and animated UI elements for an intuitive experience.
  • Hardware Integration: Designed to support sensors, cameras, and Qualcomm RB3 for future real-world deployment.

Challenges we ran into

  • Implementing real-time data updates while maintaining smooth performance.
  • Creating a dynamic and responsive UI that works seamlessly across different devices.
  • Ensuring the AI chatbot provides meaningful and context-aware interactions.

Accomplishments that we're proud of

  • Successfully integrating multiple data streams (geospatial, vitals, video, and chat) into one cohesive platform.
  • Designing an intuitive and professional UI with real-time interactivity.
  • Laying the groundwork for real-world sensor and AI integrations in future iterations.

What we learned

  • The importance of efficient real-time data handling for critical applications.
  • How to optimize performance while managing multiple dynamic components.
  • The potential of AI-driven insights in improving emergency response and crisis management.

What's next for SentinelScope

  • Integration with real IoT devices for live health and environmental data.
  • AI-powered predictive analytics for early emergency detection.
  • AR-based visualization to enhance field operations.
  • Cloud deployment for wider accessibility and scalability.
Share this project:

Updates