An interactive AI-powered interview simulation system built using large language models (LLMs) and Gradio. This project enables users to practice interviews in a conversational format with an AI agent that can ask questions, evaluate answers, and provide personalized feedback.
AI Interview Agent is designed to simulate real interview scenarios using natural language processing. It allows users to engage with an AI that takes on the role of an interviewer, generating relevant questions and evaluating responses in real-time. The system is implemented using OpenAI's GPT model and a user-friendly Gradio interface.
This project can be extended for:
- Job seekers preparing for behavioral or technical interviews
- AI coaching platforms
- Automated candidate screening tools
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🗣️ Conversational Interview Simulation
Engage in natural language interviews with an AI agent that dynamically adjusts its questions. -
🎯 Answer Evaluation & Feedback
The system analyzes user responses and provides brief feedback or suggestions for improvement. -
🧠 Customizable Roles & Job Context
Users can select the type of job or role to receive tailored interview questions. -
🌐 Gradio-based Web UI
No need to run in the terminal — everything is accessible via a simple web interface.
| Component | Description |
|---|---|
| 🧠 LLM API | OpenAI GPT-3.5 / GPT-4 |
| 🧪 Notebook | Jupyter Notebook (for prototyping) |
| 🎨 Interface | Gradio |
| 🐍 Language | Python |
| 📦 Libraries | openai, gradio, langchain, dotenv |
🚀 How to Run
- Clone this repo
git clone https://github.com/yourusername/ai-interview-agent.git
cd ai-interview-agent- Install dependencies
pip install -r requirements.txt- Set your OpenAI API key Create a .env file with the following format:
OPENAI_API_KEY=your_api_key_here- Run the Gradio App You can either open AI Interview Agent_with_Gradio.ipynb and run all cells in Jupyter, or convert it to a .py script and launch:
python app.py