README.md

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

Installation

pip install pyresparser

GUI

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

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:

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

• 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.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