An interactive chatbot application that helps users interact with CV/resume information. The chatbot uses GPT-4 to provide intelligent responses about professional experience, skills, and career information. The application consists of an Angular frontend for user interaction, an Azure Functions backend powered by GPT-4, and infrastructure managed through Terraform.

.
├── frontend-cv-chatbot/    # Angular frontend application
│   ├── src/               # Source files
│   │   ├── app/          # Application components
│   │   │   ├── components/  # UI components
│   │   │   └── services/   # Angular services
│   │   └── assets/       # Static assets
│   └── package.json      # Frontend dependencies
├── backend/              # Azure Functions backend (TypeScript)
│   ├── cv-chatbot-backend/  # Main function code
│   │   ├── cv-files/    # CV data files
│   │   └── index.ts     # Main function endpoint
│   └── package.json     # Backend dependencies
└── infrastructure/       # Terraform infrastructure code

• 🤖 Interactive chat interface for CV exploration
• 🧠 GPT-4 powered responses for natural conversation
• 📱 Responsive design that works on all devices
• ☁️ Scalable Azure Functions backend
• 🔒 Secure API integration
• 🚀 Infrastructure as Code with Terraform

• Node.js (v18 or higher)
• npm (comes with Node.js)
• Azure Functions Core Tools (npm install -g azure-functions-core-tools@4)
• Azure CLI (az) for deployment
• Terraform (v1.0 or higher)
• OpenAI API key
• Azure subscription

1. Clone the repository:

git clone https://github.com/yourusername/cv-chatbot.git
cd cv-chatbot

2. Set up the frontend:

cd frontend-cv-chatbot
npm install
npm start

3. Set up the backend:

cd backend
npm install
# Create local.settings.json with your OpenAI API key
npm run build
npm start

4. Deploy infrastructure:

cd infrastructure
terraform init
terraform apply

Create frontend-cv-chatbot/src/environments/environment.ts:

export const environment = {
  production: false,
  apiUrl: "http://localhost:7071/api"
};

Create backend/local.settings.json:

{
  "IsEncrypted": false,
  "Values": {
    "AzureWebJobs.cv-chatbot-backend.Disabled": "false",
    "OPENAI_API_KEY": "your-api-key-here"
  }
}

The frontend is built with Angular 19.0.1 and provides a modern chat interface:

cd frontend-cv-chatbot
npm start         # Start dev server
npm run build     # Build for production
npm test         # Run tests
npm run lint     # Lint code

Access the application at http://localhost:4200

The backend uses Azure Functions with TypeScript:

cd backend
npm run build    # Build TypeScript
npm start       # Start Functions runtime
npm run watch   # Watch for changes

Access the API at http://localhost:7071

Infrastructure is managed with Terraform:

cd infrastructure
terraform init   # Initialize
terraform plan  # Preview changes
terraform apply # Apply changes

┌────────────┐     ┌────────────┐     ┌────────────┐
│   Angular  │ --> │   Azure    │ --> │   OpenAI   │
│  Frontend  │     │ Functions  │     │   GPT-4    │
└────────────┘     └────────────┘     └────────────┘

• Frontend uses HTTPS for secure communication
• Backend implements CORS protection
• API keys stored securely in Azure Key Vault
• Regular dependency updates
• Input validation and sanitization

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m "Add some amazing feature")
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

This project is licensed under the MIT License - see the LICENSE file for details.

• Angular team for the fantastic framework
• Azure Functions for serverless capabilities
• OpenAI for GPT-4 API
• HashiCorp for Terraform