Gemini-API-Interview-Guide

This project leverages the Google Gemini API to enhance interview preparation by generating tailored questions and answers.

📁 About Dataset

• datascience_questions.csv: Contains a categorized list of data science interview questions for different experience levels ('fresh', 'intermediate', 'senior').

🛠️ Getting Started

Follow these steps to set up and run the project on your local machine.

Prerequisites

Make sure you have Python 3.7+ and Jupyter installed. You can check your Python version with:

python --version

To install Jupyter, run:

pip install notebook

Installation

Install the required dependencies:

1. Clone the repository:

   git clone https://github.com/ganayasser/Gemini-API-Interview-Guide.git
   cd Gemini-API-Interview-Guide

2. Install the required dependencies using the requirements.txt file:

   pip install -r requirements.txt

📝Running the Notebook

1. Start Jupyter Notebook:

jupyter notebook

2. Open the notebook file Gemini-API-Interview-Guide.ipynb from the Jupyter interface.

3. Follow the instructions within the notebook to initialize the Gemini API key, load the dataset, and conduct the technical interviews.

📧Contact

For any questions or inquiries, feel free to reach out to me:

• Email: [email protected]