LifeLine Voice

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  Zero-latency emergency command center with hands-free voice dispatch and hardware telemetry.

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  Sensory metronome in active state — 110 BPM chest compression pacing with context-safety lock.

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  Real-time speech transcription and dynamic AI emergency reasoning via Groq Llama 3.1.

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  Mobile-first dark mode: 0 ms rescue protocols, 110 BPM metronome, and instant 112 emergency bridge.

💡 Inspiration

Foundation Models (LLMs) possess vast medical intelligence, yet in life-or-death physical emergencies, raw LLMs completely fail. Standard models suffer from The Latency Trap (4–8s reasoning times), disembodied text output, lack of sensory pacing, and fatal conversational "chattiness". In a real rescue, hands are occupied or contaminated, and phones lock automatically.

We built LifeLine Voice to solve the Paradox of Intelligence Systems by wrapping ultra-fast inference into a deterministic, physically grounded, multimodal emergency operating layer.

🚀 What it does

LifeLine Voice is a hands-free, real-time emergency dispatcher operating across two distinct execution tracks:

• 12 Deterministic ERC/AHA Protocols (0 ms Local Latency): Instant offline guidance for acute emergencies (CPR, severe choking, arterial bleeding, unconsciousness, pediatric head trauma, chemical/detergent ingestion, insect stings in mouth/throat, burns, seizures, fractures, and nosebleeds).
• Real-Time Voice Barge-In (<200 ms Cancellation): Rescuers can interrupt ongoing speech synthesis mid-sentence when patient status deteriorates (e.g., shouting "Patient lost consciousness!" immediately cuts off the choking protocol and switches to CPR).
• Acoustic Echo Suppression: Intent-gating algorithms prevent the device speaker from triggering false-positive voice loops in its own microphone.
• Phonetic Speech Normalization (TTS): Preserves clean, high-contrast visual digits on screen (112, 1., 2., 110 BPM) while phonetically speaking natural phrases ("sto dwanaście", "Po pierwsze" / "one one two", "Step one").
• Sensory Hardware Telemetry: 110 BPM optical & haptic metronome with medical context-lock for CPR, plus auto-resuming Screen Wake Lock API.
• Expert AI Reasoning (Server-Side Proxy): Unstructured medical queries outside the 12 protocols are routed via an authenticated server-side Route Handler to Groq Cloud (Llama 3.3-70B & Mixtral), strictly bounded to 3 imperative sentences.
• Agentic AI Certified: Fully compliant with WebMCP standards and curated llms.txt index for autonomous AI agent discovery.

🛠️ How we built it

• Framework: Next.js 15 (App Router, React Hooks, Turbopack) with zero client-side API key exposure.
• Decision Engine (lib/rescue-engine.ts): Pure TypeScript rescue state machine with Unicode-safe Polish and English stem analysis.
• Audio & Telemetry: Web Speech API (STT streaming with interimResults: true & TTS), Web Audio API (AED triangle-wave audio pulse), Screen Wake Lock API, and Vibration API.
• Frontend & Accessibility: Tailwind CSS v4 in a high-contrast Swiss-Brutalist emergency aesthetic (100% WCAG AA compliance, min. 5.75:1 contrast).

🧠 Challenges we ran into

• Acoustic Feedback & Interruption (Barge-In): Preventing the microphone from hearing its own text-to-speech speaker while still allowing the human rescuer to interrupt instantaneously. We solved this with real-time interim intent gating and session index tracking.
• Mobile Sandbox Restrictions: Overcoming iOS Safari audio autoplay blocks via silent user-gesture priming, handling mobile OS microphone throttling, and eliminating the mobile 300 ms tap delay via touch-action: manipulation.
• Latency Elimination: Enforcing strict prompt boundaries and deterministic local fallbacks so the assistant never stalls during network drops or API rate limits (404/429).

🏅 Accomplishments that we're proud of

• Achieving 0 ms local latency for 12 life-critical emergency protocols.
• Engineering a sub-200 ms Voice Barge-In with full acoustic echo suppression on native browser APIs.
• Perfect 100/100 score on Google PageSpeed & Lighthouse (100 Performance with 0.3s FCP, 100 WCAG AA Accessibility, 100 Best Practices, 100 SEO, and 3/3 WebMCP Agentic certification).
• Publishing a comprehensive Technical Architecture Whitepaper comparing LifeLine Voice across 8 commercial platforms (Apple Emergency SOS, Google Personal Safety, Noonlight, Life360).

📖 What we learned

In high-stakes physical domains, system architecture, sensory feedback, and physical telemetry matter far more than raw model parameter scale. Medical safety requires deterministic guardrails over conversational creativity.

🔮 What's next for LifeLine Voice

• Automated wearable sensor fusion (Apple Watch & Pixel Watch HR/SpO₂) for real-time cardiac arrest detection.
• WebRTC Computer Vision to passively assess chest compression depth and hand placement.
• Direct tele-dispatch bridge integration with European 112 / E911 dispatch networks.

📄 Technical Deep Dive: Read our full Mobile & System Architecture Whitepaper (benchmark comparisons, latency budgets, and regulatory analysis).

Built With

• ai
• first-aid
• groq
• llama-3.3
• llm
• mixtral
• mobile-web
• next.js
• react
• screen-wake-lock-api
• server-side-prox
• tailwind-css
• typescript
• wcag
• web-speech-api
• webmcp