https://github.com/serinryu/interviewhelper_openvino
Resume-Based Interview Preparation Tool
https://github.com/serinryu/interviewhelper_openvino
openvino-model-zoo
Last synced: 7 days ago
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Resume-Based Interview Preparation Tool
- Host: GitHub
- URL: https://github.com/serinryu/interviewhelper_openvino
- Owner: serinryu
- Created: 2023-11-05T02:49:04.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-11-05T09:19:12.000Z (over 1 year ago)
- Last Synced: 2024-11-08T08:40:00.524Z (5 months ago)
- Topics: openvino-model-zoo
- Language: Python
- Homepage:
- Size: 28.6 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-openvino - 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. (Table of content / Natural Language Processing)
README
# 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`](https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/intel/bert-small-uncased-whole-word-masking-squad-int8-0002#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](https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/intel/bert-small-uncased-whole-word-masking-squad-int8-0002#input).
- **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:
```bash
git clone https://github.com/serinryu/interviewhelper_openvino.git
```2. Install the required dependencies:
```bash
pip install -r requirements.txt
```### Running
```bash
usage: resume_interview_tool.py [-h] -i INPUTOptions:
-h, --help Show this help message and exit.
-i INPUT, --input INPUT Required. URL to a page with context```
#### Example CMD Line
```bash
python3 resume_interview_tool.py -i https://dynamicfolio.vercel.app
```
You should input the candidate's resume or portfolio page and type the questions.```bash
python3 resume_interview_tool.py -i https://dynamicfolio.vercel.appWrite 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?