Inspiration

This project began with a deeply personal experience. One day, while traveling to college in Mangalore karnataka, India, the bus was extremely crowded. I managed to get inside, but my friend had to stand on the bus stairs, holding on from outside. As the bus sped along the highway, the conductor asked him to pass his bag. While handing it over, he slipped and fell from the moving bus.

I immediately told a nearby person to call 112. He tried, but there was a major problem — he only knew Bengali, while the emergency operator spoke Kannada, English, or Hindi. They couldn't understand each other. Precious minutes were lost. We eventually called a local ambulance, but it arrived too late.

This moment made us realize how dangerous and life-threatening communication barriers, fragmented systems, and delayed emergency responses can be. It inspired us to create RudraOne — an AI-powered platform that ensures no one loses help just because of language, confusion, or delays.

What it does

RudraOne is an AI-powered, unified emergency response platform designed specifically for India’s 112 system. It brings call-taking, dispatch, and field response into a single interface. It supports real-time transcription and translation across multiple Indian languages, enables live video and precise location sharing, automates non-emergency triage, and provides AI-driven QA, radio transcription, and situational awareness for faster, more accurate emergency response.

How we built it

We combined multiple technologies into a single integration-ready architecture:

  • AI models for speech-to-text, emergency triage, call scoring, and radio transcription
  • 11 Labs speech-to-speech translation, enabling callers and operators to communicate instantly even if they don’t share a common language
  • A unified front-end interface for call-takers, dispatchers, and responders
  • APIs for media sharing, GPS tracking, What3Words, AML India, and CAD/RMS integration
  • A secure cloud/on-prem design aligned with India’s data sovereignty requirements
  • Automated workflows connecting operators, dispatch units, and field teams seamlessly

Challenges we ran into

  • Integrating multiple emergency workflows into one intuitive UI
  • Ensuring accurate translation across 10+ Indian languages
  • Handling high-volume call routing and emergency prioritization
  • Delivering real-time video, images, and location data with low latency
  • Maintaining strict security and compliance for sensitive emergency information
  • Designing AI tools that help operators without overwhelming them

Accomplishments that we're proud of

  • Built India’s first unified, AI-powered 112 emergency response platform
  • Achieved real-time speech-to-speech translation using 11 Labs
  • Enabled media-rich situational awareness with live video and precise location
  • Reduced operator workload with automated triage and transcription tools
  • Demonstrated measurable improvements in call processing speed and response times
  • Designed a scalable system ready for both metro cities and rural PSAPs

What we learned

  • Emergency response workflows are complex and require mindful automation
  • Operators need assistive AI, not intrusive AI — clarity and speed matter most
  • Real-time visuals and location context dramatically improve decision-making
  • Multi-language support is essential in a linguistically diverse country like India
  • Security, reliability, and interoperability are as important as innovation

What's next for RudraOne

  • Pilot deployment in major metro PSAPs like Delhi, Mumbai, and Bengaluru
  • Deeper CAD/RMS integrations and expanded radio automation
  • Enhanced AI models for sentiment detection, crisis patterns, and predictive dispatch
  • Nationwide rollout with multilingual operator training and 24/7 support
  • Continuous AI updates to keep improving India's emergency response capabilities ## What's next for RudraOne

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