Concordia

Multimodal AI. Real-time GPS telemetry. 1.4s relay latency. Project Concordia turns a life-threatening language barrier into an instant connection, ensuring safety is as borderless as Europe itself.

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Project Concordia: The Multimodal Emergency Relay

Track Alignment: Disabilities (Accessibility & Inclusion) & Day of Europe

Inspiration

A few years ago, my friend Mateo, who is profoundly Deaf, was traveling through a station in Warsaw. A stranger collapsed nearby. Mateo dialed 112, but the dispatcher’s voice was a wall of sound he could not climb. The system was built for ears and voices, not for thumbs and symbols. By the time he found a translator, five minutes of life-saving time had vanished.

Project Concordia was born from that hospital corridor—a mission to ensure that freedom of movement in Europe is never compromised by a language or hearing barrier.

What it does

Concordia is an Agentic Multimodal Bridge powered by Gemini 3.0 that transforms how the Deaf and speech-impaired interact with emergency services:

  • 🧩 Multimodal Ingest: Accepts symbolic AAC pictograms and text via a WCAG 2.2 AAA interface.
  • 🗣️ Localized Synthesis: Translates intent into a low-latency synthetic voice in the dispatcher’s local language.
  • 👂 Intelligent Transcription: Uses Deepgram Nova-2 to transcribe dispatcher responses in real-time.
  • 🛰️ Telemetry Sync: Automatically attaches GPS coordinates and provides the user a live ETA widget.
  • 🛡️ EUDI Privacy: Uses European Digital Identity (EUDI) logic for "Selective Disclosure," proving disability status without storing personal data.

Key Innovation: We achieved sub-1.4s total round-trip latency, ensuring AI translation happens faster than a human interpreter.

How we built it

  • AI Reasoning: Gemini 3.0 Flash (Contextual translation & symbolic intent extraction)
  • Voice Intelligence: Deepgram Nova-2 (ASR) + ElevenLabs Turbo v2.5 (TTS)
  • Connectivity: Twilio WebSockets + FastAPI (PSTN bridging to 112)
  • Frontend: React + TypeScript + Framer Motion (Accessible "Candy Glass" UI)

Challenges we ran into

  • Latency Optimization: Piping binary audio chunks through a chain of four APIs required aggressive WebSocket management to stay under our 1.8s goal.
  • The Uncanny Valley: We had to fine-tune TTS parameters to ensure the synthetic voice conveyed emergency urgency so dispatchers wouldn't mistake the call for a prank.
  • Symbolic Mapping: Engineering prompts to accurately map abstract AAC pictograms to precise medical terminology.

Accomplishments we're proud of

  • Speed: Reached a 1.4s round-trip latency—the benchmark for life-critical AI.
  • EU Alignment: 100% compliant with the European Accessibility Act (EAA) and the EU AI Act.
  • Privacy by Design: A zero-retention architecture where every byte of crisis data is wiped post-session.

What we learned

  • Latency is the UI: In emergencies, a slow AI is a failed AI.
  • Multimodal is Mandatory: For the non-verbal, symbol-to-voice is the only bridge to safety.
  • Sovereignty as a Feature: Building with EU values (GDPR/EUDI) creates the trust required for public safety.

What's next for Project Concordia

  • EUDI Wallet Integration: Full production-ready hooks for the European Digital Identity ecosystem.
  • PSAP Partnerships: Direct integration pilots with national emergency agencies across the EU.
  • Offline Relay: On-device model quantization for communication in areas with low connectivity.

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