CVQuest

Let AI interview!

🔥 👉 Live Demo
CVQuest is designed to help interviewers and recruiters by automatically generating interview questions based on a candidate's resume. The tool uses a combination of a resume parser to extract information from the resume and an interview question maker to create relevant questions.

Example Output:

{
  "technical_questions": [
    "Can you discuss your experience with LSM-based storage engines? What are the main benefits of this approach, and how did you apply it in your work on AgateDB?",
    "In your work on Zone-Aware Garbage Collection for TerarkDB, what were the key performance metrics you used to evaluate the effectiveness of your implementation? How did it compare to other approaches?"
    ......
  ],
  "behavior_questions": [
    "How do you approach working in a team environment? Can you provide an example of a successful collaboration with team members on a challenging project?",
    "As a RisingLight Project Maintainer, how do you balance your responsibilities as a maintainer with your other commitments? How do you ensure that you are meeting the needs of the project and the community while also managing your own workload?"
    ......
  ]
}

CVQuest also provides a Gradio-based user interface that allows users to upload their resume in PDF format and receive a list of interview questions organized by category. Checkout 👉 here

Features ✨

Parse resume files in PDF format and convert them into a JSON format
Generate interview questions based on the information extracted from the resume
Gradio-based user interface for generating personalized interview questions

Dependencies

Python 3.8 or later
typer
OpenAI
Gradio

Installation

Clone the repository:

git clone https://github.com/odysa/CVQuest

Install Dependencies

pip install -r requirements.txt

This application depends on OpenAI. Please set your api key

export OPENAI_API_KEY = <you-api-key>

Usage

There are two main commands available in the CLI:

q: Generate interview questions based on the information extracted from a resume
json: Parse a resume PDF file and convert it into JSON format

Generate Interview Questions from resume (CLI)

python main.py q <file_path>

Example:

{
  "technical_questions": [
    "Can you discuss your experience with LSM-based storage engines? What are the main benefits of this approach, and how did you apply it in your work on AgateDB?",
    "In your work on Zone-Aware Garbage Collection for TerarkDB, what were the key performance metrics you used to evaluate the effectiveness of your implementation? How did it compare to other approaches?"
    ......
  ],
  "behavior_questions": [
    "How do you approach working in a team environment? Can you provide an example of a successful collaboration with team members on a challenging project?",
    "As a RisingLight Project Maintainer, how do you balance your responsibilities as a maintainer with your other commitments? How do you ensure that you are meeting the needs of the project and the community while also managing your own workload?"
    ......
  ]
}

Generate Json Output from resume (CLI)

python main.py json <file_path>

Example:

Available soon

Generate Interview Questions from resume (Gradio UI)

To launch the Gradio UI for generating personalized interview questions based on a user's resume, simply execute the following command in your terminal:

python3 server.py

After running the command, the Gradio UI will be launched in your default web browser, allowing you to upload a resume in PDF format and generate interview questions.

AOE-khkhan/CVQuest-CLI