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|

<!-- ## configurations.py Contains the regular expressions used throughout the project ## converter.py Contains methods to convert resume from input format to raw text #### pdf_to_text Uses pdfminer library to fetch raw text from the resume. Special characters and bullets in the resume are replaced with a newline character. This formatted text from the resume is returned. -->