🎤 AI Interview Simulator — GPT-4 + Whisper + TTS

Practice your English job interviews by simulating realistic interviews, using your own resume and a job description! Powered by GPT-4, Whisper, and TTS APIs from OpenAI.

🚀 Features

• 🧠 GPT-4 generates realistic, personalized interview questions
• 🗣️ Whisper transcribes your audio responses
• 🔊 TTS (Text-to-Speech) reads the questions aloud with natural voices
• 📝 Full interview transcript export (Markdown .md file)
• 🎙️ Interactive microphone recording (Start/Stop/End)
• ⚡ Available via Google Colab or full local installation with Docker

🧪 Technologies Used

• GPT-4 (OpenAI Chat API)
• Whisper (OpenAI Speech-to-Text API)
• TTS (tts-1 model from OpenAI)
• NestJS (Backend API)
• Angular (Frontend Web App)
• Docker + Docker Compose
• Google Colab (Jupyter Notebook)

📚 Options to Use

1. 🧪 Try the Colab Notebook (No install needed)

Click below to practice directly inside Google Colab:

2. 🐳 Run the Full Web App Locally (Docker)

Clone the project:

git clone https://github.com/eunafita/Interview-Assistant---Audio-Interview.git
cd Interview-Assistant---Audio-Interview

Build and run with Docker Compose:

docker-compose up --build

• 🌐 Frontend: http://localhost:4200
• 🧠 Backend API: http://localhost:3000

Note:

Before running, make sure you have a valid .env file inside /backend/ with your OpenAI API key:

OPENAI_API_KEY=your-openai-api-key-here

⚙️ Project Structure

/frontend          --> Angular application (user interface)
/backend           --> NestJS application (API & OpenAI integration)
/docker-compose.yml --> Multi-container configuration
/interview_assistant_audio.ipynb --> Google Colab notebook version

📦 Requirements

• Docker Engine installed (Linux, Windows, or Mac)
• OpenAI account with access to GPT-4, Whisper, and TTS APIs

Optional (for local development):

• Node.js 18+
• Angular CLI
• NestJS CLI

📝 Roadmap

• ☑️ Initial prototype via Google Colab
• ☑️ Full-stack version (NestJS + Angular)
• ☑️ Dockerized setup for easy installation
• ⬜ Add login and session management (optional future feature)
• ⬜ Support for multiple languages (future feature)
• ⬜ Add support for more AI models as Claude(anthropic), DeepSeek, Grok and others
• ⬜ Add question categories like: Background, tricky questions, skills questions, job specific questions.

🙌 Acknowledgments

• OpenAI for providing the APIs
• Google Colab for quick prototyping
• Docker Community for making local deployments simple

📄 License

This project is licensed under the MIT License.

🎯 Final Result

• ✅ Practice your English speaking
• ✅ Get realistic feedback
• ✅ Export your entire interview transcript
• ✅ Ready for real interviews!

🚀 Ready to simulate your first interview?

• Start now on Google Colab

or

• Run locally with Docker in minutes! 🐳