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cvscan

Your not so typical resume parser Instructions

Follow these to have a sneak peek of what's going on

  1. git clone https://github.com/skcript/cvscan.git
  2. cd cvscan
  3. python setup.py install
  4. Place the sample resume in the ~/cvscan folder and enter the file name
    or enter relative path
    Eg: ~/cvpath/data/sample/a.pdf is parsed by
cvscan parse --name data/sample/a

Data Manipulations

Skills

Note: Skills are case-sensitive unlike Jobs and Organizations

add

cvscan add -s "C,C++,R,Java"

remove

cvscan remove --skill "C,C++"

Jobs

add

Adding

  1. contributor Job-category: Programmer
  2. Android Programmer Job-category: Developer
cvscan add -j "contributor:Programmer,android Programmer:Developer"

remove

Removing

  1. contributor
  2. Android Programmer
cvscan remove --job "contributor,Android Programmer"

Organizations

add

cvscan add --org "Skcript"

remove

cvscan remove -o "Skcript"

Qualifications

Note:

  • Qualifications are case-sensitive.
  • Puntuations before the first and after the last alphabet should be excluded

add

cvscan add -q "B.S,B.Tech,B.Arch"

remove

cvscan remove --qual "B.Arch"

Extra Information

add

cvscan add -e "machine learning,artificial intelligence"

remove

cvscan remove --extra "machine learning,artificial intelligence"

File Descriptions

class Cvscan

cvscan = Cvscan(name,path)

Extract

Convert the input file to raw_text and calls parse class method

cvscan.extract()

Display extracted text

cvscan.show()

Attributes

Attributes Function
path Stores the path of the resume
raw_text Stores the resume as raw text
URLs Stores all the URLs from the resume
name Applicant's name
emails Applicant's email
Phone number Applicant's contact number
address Applicant's address
experience Applicant's experience in years
cleaned_resume Raw text after removing english stopwords
skills Applicant's skillset
qualifications Applicant's qualifications
degree_info Info about qualification
job_positions Applicant's jobs
category Applicant's Job category
current_employers Organization applicant is working in
employers All organizations applicant has worked in
extra_info Extra information about the applicant

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Your not so typical resume parser

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  • Python 100.0%