InterviewGym: AI Interview Practice

InterviewGym is an open-source platform designed to help you prepare for interviews with AI-driven practice sessions. Get personalized feedback and sharpen your skills to ace your next interview!

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Features

• AI-powered interview questions tailored to your job role.
• Voice-to-text integration for real-time feedback.
• Multilingual support for diverse users.
• Easy setup using Docker Compose.

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Prerequisites

Before you get started, ensure you have:

1. Docker and Docker Compose installed on your machine.
2. API keys for the following services:
   • OpenAI: Get your API Key.
   • Deepgram: Sign up for Deepgram.

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Setup Instructions

Step 1: Clone the Repository

git clone https://github.com/abdulmunimjemal/InterviewGym.git
cd InterviewGym

Step 2: Configure Environment Variables

1. Navigate to the backend folder:

   cd backend

2. Create a .env file in the backend folder and fill in your API keys:

   OPENAI_API_KEY=your_openai_api_key_here
   DEEPGRAM_API_KEY=your_deepgram_api_key_here

Step 3: Build and Start the Application

Run the following command from the root directory:

docker-compose up --build

This will build and start all necessary services for the application.

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Usage

Once the application is running:

1. Open your browser and navigate to http://localhost:8000.
2. Start practicing your interview skills!

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Contributing

We welcome contributions to make InterviewGym even better! To contribute:

1. Fork the repository.
2. Create a new branch: git checkout -b feature/your-feature-name.
3. Commit your changes: git commit -m 'Add your feature'.
4. Push to the branch: git push origin feature/your-feature-name.
5. Open a Pull Request.

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License

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

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Support

For issues, feedback, or feature requests, please open an issue.

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Happy practicing! 🎉