Virtual Interviewer

Use Lauren as a virtual interviewer to conduct engaging candidate screening at scale

Overview

The Virtual Interviewer use case leverages Lauren to conduct engaging and scalable candidate screening. This digital human can ask relevant interview questions, assess candidate responses, and provide a consistent interview experience for all applicants.

Use Case Benefits

• Scalable Screening: Interview multiple candidates simultaneously without scheduling constraints
• Consistent Experience: Every candidate receives the same professional interview format
• Time Efficiency: Automate initial screening rounds, allowing HR teams to focus on top candidates
• 24/7 Availability: Candidates can interview at their convenience

Implementation

JavaScript

const NavTalkMessageType = Object.freeze({
    CONNECTED_SUCCESS: "conversation.connected.success",
    REALTIME_SESSION_CREATED: "realtime.session.created",
    REALTIME_SESSION_UPDATED: "realtime.session.updated",
    // ... other event types
});

const websocketUrl = 'wss://transfer.navtalk.ai/wss/v2/realtime-chat';
const license = 'your-license-key';
const characterName = 'navtalk.Lauren';

const websocketUrlWithParams = `${websocketUrl}?license=${encodeURIComponent(license)}&name=${encodeURIComponent(characterName)}`;
const socket = new WebSocket(websocketUrlWithParams);

// Configure Lauren as a professional interviewer
socket.onmessage = (event) => {
  if (typeof event.data === 'string') {
    const data = JSON.parse(event.data);
    const nav_data = data.data;
    
    if (data.type === NavTalkMessageType.REALTIME_SESSION_CREATED) {
      // Send conversation history if needed
      // Session configuration (instructions, voice, model) is sent via realtime.input_config
    }
    
    if (data.type === NavTalkMessageType.REALTIME_SESSION_UPDATED) {
      // Session ready, start sending audio input
    }
  }
};

import asyncio
import websockets
import json
from urllib.parse import quote

NAV_TALK_MESSAGE_TYPE = {
    'CONNECTED_SUCCESS': 'conversation.connected.success',
    'REALTIME_SESSION_CREATED': 'realtime.session.created',
    'REALTIME_SESSION_UPDATED': 'realtime.session.updated',
    # ... other event types
}

async def connect_virtual_interviewer():
    websocket_url = 'wss://transfer.navtalk.ai/wss/v2/realtime-chat'
    license = 'your-license-key'
    character_name = 'navtalk.Lauren'
    
    websocket_url_with_params = f'{websocket_url}?license={quote(license)}&name={quote(character_name)}'
    
    async with websockets.connect(websocket_url_with_params) as websocket:
        async for message in websocket:
            if isinstance(message, str):
                data = json.loads(message)
                nav_data = data.get('data')
                
                if data.get('type') == NAV_TALK_MESSAGE_TYPE['REALTIME_SESSION_CREATED']:
                    # Send conversation history if needed
                    # Session configuration (instructions, voice, model) is sent via realtime.input_config
                    pass
                
                if data.get('type') == NAV_TALK_MESSAGE_TYPE['REALTIME_SESSION_UPDATED']:
                    # Session ready, start sending audio input
                    pass

asyncio.run(connect_virtual_interviewer())

Customize the interview questions by adjusting the instructions field to match specific job requirements and company culture.