Behavioral Interview Prep Chatbot

This project is a chatbot designed to help users prepare for behavioral interviews. It uses Flask for the backend and the Google Gemini API to generate and analyze responses, providing real-time or mock interview feedback tailored to the user's role, industry, and experience level.

Features

• Real-Time Feedback Mode: Provides immediate feedback after each response.
• Mock Interview Mode: The user can either do a full interview session or summarize feedback at the end.
• Role-Specific Questions: Generates questions tailored to the user's job role, industry, and experience.
• Constructive Feedback: Uses the STAR method (Situation, Task, Action, Result) to evaluate responses.

Installation

Prerequisites

• Python 3.9 or higher
• A valid Google Gemini API key
• Visual Studio Code (Recommended)

Installation Steps

1. Clone this repository to your local machine:

   git clone https://github.com/nhatminh23-03/behavioral-interview-prep-chatbot.git

2. Navigate to the project directory:

   cd behavioral-interview-prep-chatbot

3. Create a virtual environment (optional but recommended):

   python -m venv venv

4. Activate the virtual environment:

   source venv/bin/activate # For window: venv\Scripts\activate

5. Install the required Python packages:

   pip install -r requirements.txt

6. Create an .env file to store your API key: In the project root, create a file named .env and add the following line:

   GEMINI_API_KEY=your_api_key_here

7. Open the project in VS Code (recommend):

   code .

8. Run the chatbot:

   python app.py

9. Access the chatbot in your browser: After running the command above, you will see a message in the terminal similar to this: For example:

   Running on http://127.0.0.1:5000/

Open your browser and navigate to the URL to interact with the chatbot.