ECHOCARE: Revolutionizing Healthcare with AI-Powered Voice Companions

What I Built

ECHOCARE is a groundbreaking healthcare technology platform that transforms medication adherence through AI-powered voice interactions. The system creates personalized, automated phone calls using cloned family member voices to remind patients to take their medications while conducting intelligent health check-ins.

The Problem It Solves

Medication non-adherence is a critical healthcare issue affecting 50% of patients with chronic conditions, leading to:
125,000+ preventable deaths annually in the US
$300+ billion in avoidable healthcare costs
Increased hospital readmissions and complications
Family stress and caregiver burden
Traditional reminder systems (texts, apps, generic calls) fail because they lack the emotional connection and personal touch that drives compliance.

Demo

How I Used Murf API

Real-Time WebSocket TTS Integration
I leveraged Murf AI's WebSocket API to create ultra-realistic, real-time voice synthesis that powers the entire conversation flow:

`WebSocket-based real-time TTS service
`class MurfWebSocket extends EventEmitter {
  async connect(contextId = null) {
    const wsUrl = `wss://api.murf.ai/v1/speech/stream-input?api-key=${process.env.MURF_API_KEY}&sample_rate=44100&channel_type=MONO&format=WAV`;
    this.ws = new WebSocket(wsUrl);

    this.ws.on('message', (data) => {
      const parsedData = JSON.parse(data);
      this.handleAudioChunk(parsedData);
    });
  }

  async streamText(text, end = true) {
    const textMsg = { text: text, end: end };
    this.ws.send(JSON.stringify(textMsg));
  }
}``

Multi-Language Voice Profiles
I implemented comprehensive language support with Murf AI's voice profiles:

`static getVoiceForLanguage(language) {
  const voices = {
    'en': 'en-US-amara',      // Professional healthcare voice
    'hi': 'hi-IN-kalpana',    // Hindi with cultural sensitivity
    'es': 'es-ES-vera',       // Spanish medical terminology
    'fr': 'fr-FR-amelie',     // French healthcare voice
    'de': 'de-DE-anna'        // German medical voice
  };
  return voices[language] || 'en-US-amara';
}`

Real-Time Streaming Architecture
The system uses Murf AI's WebSocket streaming for instant, natural responses:

`// Real-time audio chunk handling
handleAudioChunk(data) {
  const audioBytes = Buffer.from(data.audio, 'base64');
  this.emit('audioChunk', {
    audioChunk: audioBytes,
    isFinal: data.isFinalAudio || false,
    timestamp: Date.now()
  });
}`

Complete Call Flow Integration

Personalized Greeting: Murf AI generates medication reminders using family member voices
Health Check-ins: Real-time TTS asks intelligent health questions
AI Response Delivery: Murf AI streams personalized health advice back to patients
Follow-up Conversations: Contextual questions and caring goodbye messages
Use Case & Impact

Real-World Applications