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Your not so typical resume parser

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Hi I am using these codes to extract pdf text ``` from pdfminer.high_level import extract_text def convert_pdf_to_txt(path): print('You passed in: ' + path) text = extract_text(path) return text Filepath =...

**The PR has the following set of improvements.** 1. Since Python 2 sunset date is crossed for a while, this PR moved the parts of functionalities using Py3 related ones....

enhancement

Bumps [nltk](https://github.com/nltk/nltk) from 3.2.1 to 3.4.5. Changelog Sourced from nltk's changelog. Version 3.5 2020-04-13 add support for Python 3.8 drop support for Python 2 create NLTK's own Tokenizer class distinct...

dependencies

``` lubi:cvscan-master lubi$ python setup.py install running install running bdist_egg running egg_info writing cvscan.egg-info/PKG-INFO writing dependency_links to cvscan.egg-info/dependency_links.txt writing entry points to cvscan.egg-info/entry_points.txt writing requirements to cvscan.egg-info/requires.txt writing top-level names...

Trying to run the setup.py with Python 3.6.5 Shell C:\Users\[name]\Desktop\cvscan-master\cvscan-master\setup.py

Is it possible to run .doc and .docx too?

For some rare resume, experience value is calculated to be close to 2000 or negative.

The algorithm presently fetches the first Noun in the resume. This should definitely be worked upon.

Create a Web UI that can ease (by drag and drop) * adding/removing organisations * adding/removing skills * adding/removing positions

Mandate: Degree Would be nice: College name