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interview-coach-ai's Introduction

interview-coach-ai

This app shows how ChatGPT can be used to generate helpful feedback and coaching for people taking job interviews.

This application will analyze a question asked by the hiring manager, the response given by the candidate, and information about what coursework and challenges the candidate has solved to provide feedback and a suggested response.

I wrote this app to help MeritAmerica, a non-profit that helps re-train adults in tech careers. I was told that often the first time the learners in MeritAmerica's program have ever used zoom is in the training. It's not a surprise then that people who have passed coursework will be unconfident in their skills, nervous, and struggle to market their skills accordingly in a job interview.

The default question and answer were provided to me by MeritAmerica as a typical example. The app does a pretty good job at recommending a better answer!

screenshot of the application

The next step would be to review actual interviews from the candidate and automatically review and create response suggestions.

Demo

try the demo!

๐Ÿš€ Features

  • Two modes: Page 1 โ€” Single question and answer feedback. Page 2 โ€” feedback on an entire interview transcript
  • Runs OpenAI API calls async
  • Provides a score from 1-10 on the candidates response
  • Provides constructive feedback
  • Provides reinforcement to the candidate: which things did they do well that they should continue doing?
  • Provides a suggested response

๐Ÿ’พ Installation

To install Interview Coach AI, follow these steps:

  1. Clone the repository: For this step you need Git installed, but you can just download the zip file instead by clicking the button at the top of this page โ˜๏ธ
git clone https://github.com/wjessup/interview-coach-ai.git
  1. Install the required dependencies:
pip install -r requirements.txt
  1. Open main.py and set your API key here: openai.api_key = yourapikey

๐Ÿ”ง Usage

  1. Run the main.py Python script via Streamlit in your terminal:
streamlit run main.py

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