Rapid Emergency Deployment System (REDS)

REDS was born from a personal experience. While walking through San Francisco, I had a gun pointed at me. When I called 911, I was placed on hold for nearly five minutes. At that moment, all I could think was: “What if someone were having a heart attack right now?” That moment of fear and frustration led to action and the creation of REDS.

REDS is an AI-powered backup system for 911 operations, built to support and, in some cases, save emergency response infrastructure. Designed for government and public safety, the system leverages the vast archive of recorded 911 calls to train AI to distinguish between high-priority emergencies and less critical calls while maintaining a trained human dispatcher's calm, clear tone.

As the project founder and team lead, I guided the development of both the concept and the prototype. The system can theoretically handle call triage, voice response, and even dispatch prioritization, reducing the number of human operators needed in overflow scenarios, natural disasters, or areas with staffing shortages.

REDS is also designed to handle text-based 911 systems, which are becoming more common. Traditional operators can struggle with multitasking during high-volume events; REDS offers a streamlined, real-time solution that can scale instantly. This product was presented to and praised by Accenture leadership.

Ultimately, REDS is more than just an efficiency tool. It’s about making sure no one waits on hold during an emergency. It’s about making sure help is always just one second closer.