Interview Practice Assistant

This Python script is designed to assist users in practicing data structure and algorithm-related interview questions. The assistant engages with the user by posing questions, transcribing speech responses into text, and evaluating answers that you have given .Then you are provided with a score according to your given answers .

Prerequisites

• OpenAI GPT-3.5 Turbo API key: Obtain and set the API key in the .env file.
• Python 3.x

Dependencies

• re (regular expressions)
• openai (OpenAI GPT-3.5 Turbo API)
• pyttsx3 (text-to-speech conversion)
• speech_recognition (speech recognition)
• dotenv (for loading API key from the .env file)

Setup

1. Clone the repository:

   git clone https://github.com/your-username/Interview-Practice-Assistant.git

2. Install dependencies:

   pip install -r requirements.txt

3. Set up your OpenAI API key:

   • Create a .env file in the root directory.

   • Add your OpenAI GPT-3.5 Turbo API key to the .env file:

     API_KEY=your-api-key-goes-here
     

Usage

1. Run the script:

   python interview_assistant.py

2. The assistant will ask predefined questions. Speak your responses, and the assistant will evaluate them using the OpenAI model.

Customization

Feel free to customize the list of interview questions (dsa_questions) or modify the script for your specific use case.

Advantages

• Personalized Practice: Users can practice interview questions in a conversational manner, enhancing their ability to articulate solutions.
• Real-time Feedback: The OpenAI model provides immediate feedback on the quality of responses, helping users identify areas for improvement.
• Voice Interaction: The script supports voice input, making the practice experience more interactive and resembling a real interview scenario.

Conclusion

The Interview Practice Assistant leverages cutting-edge technology to offer an interactive and personalized interview preparation experience. Whether you are a job seeker honing your skills or an interviewer looking to simulate questions, this tool provides a dynamic platform for practicing and refining your responses. By integrating speech recognition and the power of GPT-3.5 Turbo, the assistant strives to make the interview preparation process more engaging and effective.

Notes

• Adjust pyttsx3 settings (voice, volume, rate) in the code according to your preferences.
• Ensure the .env file contains the correct OpenAI GPT-3.5 Turbo API key.