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Resume-Based Interview Preparation Tool

The Resume-Based Interview Preparation Tool is a software application designed to streamline the interview process by helping interviewers generate relevant and meaningful questions based on a candidate's resume or portfolio page.

This tool aims to make interviewers' jobs easier and improve the quality of interviews by focusing on deeper and more insightful inquiries.

📁 Features

• Resume Analysis: The tool allows interviewers to upload a candidate's resume or portfolio page, which is then analyzed to extract relevant information.

• Question Generation: Based on the resume content, the tool generates a set of interview questions designed to delve into the candidate's qualifications, experience, and skills.

• Question Relevance: The tool identifies and organizes questions that are pertinent to the candidate's resume, ensuring that the interview process is more effective and efficient.

• Customization: Users can tailor the generated questions to their specific needs or preferences, allowing for personalized interview preparation.

🦾 Supported Models

• bert-small-uncased-whole-word-masking-squad-int8-0002 is supported by this program.
  • This is a small BERT-large like model distilled and quantized to INT8 on SQuAD v1.1 training set from larger BERT-large model (bert-large-uncased-whole-word-masking) provided by the Transformers library) and tuned on SQuAD v1.1 training set.
  • Tokenization occurs using the BERT tokenizer and the enclosed vocab.txt dictionary file. Input is to be lower-cased before tokenizing.
  • However, the model is very limited and sensitive for the input. Please put appropriate format and amount of input later. Otherwise, the algorithm will not be able to find it.
  • For more information, refer to the Input section of BERT model documentation.
• Planning to support more models for stability!

🕵️ Getting Started

Prerequisites

• Python 3
• Install required packages (list them in a requirements.txt file)

Installation

1. Clone this repository to your local machine:

git clone https://github.com/serinryu/interviewhelper_openvino.git

2. Install the required dependencies:

pip install -r requirements.txt

Running

usage: resume_interview_tool.py [-h] -i INPUT

Options:
  -h, --help            Show this help message and exit.
  -i INPUT, --input INPUT  Required. URL to a page with context

Example CMD Line

python3 resume_interview_tool.py -i https://dynamicfolio.vercel.app

You should input the candidate's resume or portfolio page and type the questions.

python3 resume_interview_tool.py -i https://dynamicfolio.vercel.app

	Write a question (q to exit): Tell me one of your projects bulit with Java.
	Answer: (.....)
	Score: 0.99
	Time: 0.14s

Sample questions:

• Which tech stack do you have?
• When you interned at Intel in 2023, what were your primary responsibilities and tasks?
• Did you receive any academic awards or honors in high school for outstanding grades?