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https://github.com/omkarpathak/resumeparser

A simple resume parser used for extracting information from resumes
https://github.com/omkarpathak/resumeparser

extract-data gui parser python python3 resume-parser

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A simple resume parser used for extracting information from resumes

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# ResumeParser
A simple Resume Parser used for extracting information from Resumes/CVs

Note: This is just a wrapper around the pyresparser. The actual source code for the parsing can be found here: [https://github.com/OmkarPathak/pyresparser](https://github.com/OmkarPathak/pyresparser)

# Installation

```bash
pip install pyresparser
```

# GUI

- Django used
- Easy extraction and interpretation using GUI
- For running GUI execute:

```bash
python resume_parser/manage.py makemigrations
python resume_parser/manage.py migrate
python resume_parser/manage.py runserver
```

- Visit `127.0.0.1` to view the GUI

# Working:

![Working](results/resume_parser_result.png)

# Running app in Docker

- Install docker-compose
- Execute the following commands from the root of the project
- Build our images

`docker-compose build`

- Starting our containers and services

`docker-compose up -d`

- Visit `localhost:8080` in your browser to run the app

# Result

The module would return a list of dictionary objects with result as follows:

```
[
{
'education': [('BE', '2014')],
'email': '[email protected]',
'mobile_number': '8087996634',
'name': 'Omkar Pathak',
'skills': [
'Flask',
'Django',
'Mysql',
'C',
'Css',
'Html',
'Js',
'Machine learning',
'C++',
'Algorithms',
'Github',
'Php',
'Python',
'Opencv'
]
}
]
```

# To DO

- [x] Extracting Experience
- [ ] Extracting Projects
- [ ] Extracting hobbies
- [ ] Extracting universities
- [ ] Extracting month of passing
- [ ] Extracting Awards/ Achievements/ Recognition

# References that helped me get here

- [https://www.kaggle.com/nirant/hitchhiker-s-guide-to-nlp-in-spacy](https://www.kaggle.com/nirant/hitchhiker-s-guide-to-nlp-in-spacy)

- [https://www.analyticsvidhya.com/blog/2017/04/natural-language-processing-made-easy-using-spacy-%E2%80%8Bin-python/](https://www.analyticsvidhya.com/blog/2017/04/natural-language-processing-made-easy-using-spacy-%E2%80%8Bin-python/)

- [https://medium.com/@divalicious.priya/information-extraction-from-cv-acec216c3f48](https://medium.com/@divalicious.priya/information-extraction-from-cv-acec216c3f48)