🤖 Interview Bot

AI-powered interviewer bot with video call interface and calendar scheduling, built on Cloudflare Workers.

Features

• 📅 Calendar Scheduling - Visual calendar with drag-and-click scheduling
• 📹 Video Call Interface - Simulated video call with AI avatar
• 🧠 AI Interviewer - Streaming responses via Workers AI + AI Gateway
• 💬 Real-time Chat - Server-sent events for smooth streaming
• 📱 Responsive UI - Works on desktop and mobile

Architecture

┌─────────────────────────────────────────────────────────┐
│                    Cloudflare Edge                       │
│  ┌─────────────┐  ┌──────────────┐  ┌────────────────┐  │
│  │   Worker    │──│  AI Gateway  │──│   Workers AI   │  │
│  │  (index.ts) │  │  (optional)  │  │ (Llama 3.1 8B) │  │
│  └──────┬──────┘  └──────────────┘  └────────────────┘  │
│         │                                                │
│  ┌──────┴──────┐                                        │
│  │  KV Store   │ ← Interview data                       │
│  └─────────────┘                                        │
└─────────────────────────────────────────────────────────┘

Quick Start

1. Install dependencies

npm install

2. Create KV namespaces

# Create production namespace
npx wrangler kv namespace create INTERVIEWS

# Create preview namespace for local dev
npx wrangler kv namespace create INTERVIEWS --preview

3. Update wrangler.toml

Replace the placeholder IDs with the ones from the previous step:

[[kv_namespaces]]
binding = "INTERVIEWS"
id = "<YOUR_PRODUCTION_ID>"
preview_id = "<YOUR_PREVIEW_ID>"

4. (Optional) Configure AI Gateway

For analytics, caching, and rate limiting:

1. Create an AI Gateway in the Cloudflare dashboard
2. Uncomment and update the AI Gateway config in wrangler.toml:

[ai.gateway]
id = "your-gateway-id"

5. Run locally

npm run dev

Open http://localhost:8787

6. Deploy to production

npm run deploy

API Endpoints

Method	Endpoint	Description
GET	/api/interviews	List all interviews
POST	/api/interviews	Create new interview
PUT	/api/interviews/:id	Update interview
DELETE	/api/interviews/:id	Delete interview
POST	/api/chat	Stream AI chat response

Interview Data Structure

interface Interview {
  id: string;
  candidateName: string;
  email: string;
  scheduledAt: string; // ISO 8601
  duration: number;    // minutes
  status: 'scheduled' | 'in-progress' | 'completed' | 'cancelled';
  notes: string[];
  transcript: string[];
}

Customization

Change AI Model

In src/index.ts, update the model in handleChat():

const stream = await env.AI.run('@cf/meta/llama-3.3-70b-instruct-fp8-fast', {
  // ...options
});

Available models: https://developers.cloudflare.com/workers-ai/models/

Modify Interview Prompts

Edit the SYSTEM_PROMPT constant in src/index.ts to customize:

• Interview style and tone
• Question categories
• Evaluation criteria

Add Real Video (WebRTC)

To add actual video calls using Cloudflare Realtime:

1. Enable Realtime SFU in your Cloudflare dashboard
2. Add the RealtimeKit SDK to the frontend
3. Replace the simulated video with real WebRTC streams

See: https://developers.cloudflare.com/realtime/

Tech Stack

• Runtime: Cloudflare Workers
• AI: Workers AI with Llama 3.1 8B Instruct
• Storage: Cloudflare KV
• Streaming: Server-Sent Events (SSE)
• Frontend: Vanilla JS with inline styles

Cost Estimation

Resource	Free Tier	Paid
Workers requests	100k/day	$0.30/million
Workers AI	10k neurons/day	$0.011/1k neurons
KV reads	100k/day	$0.50/million
KV writes	1k/day	$5.00/million

License

MIT