Follow these to have a sneak peek of what's going on
- git clone https://github.com/skcript/cvscan.git
- cd cvscan
- python setup.py install
- 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/aNote: Skills are case-sensitive unlike Jobs and Organizations
cvscan add -s "C,C++,R,Java"
cvscan remove --skill "C,C++"
Adding
- contributor Job-category: Programmer
- Android Programmer Job-category: Developer
cvscan add -j "contributor:Programmer,android Programmer:Developer"
Removing
- contributor
- Android Programmer
cvscan remove --job "contributor,Android Programmer"
cvscan add --org "Skcript"
cvscan remove -o "Skcript"
Note:
- Qualifications are case-sensitive.
- Puntuations before the first and after the last alphabet should be excluded
cvscan add -q "B.S,B.Tech,B.Arch"
cvscan remove --qual "B.Arch"
cvscan add -e "machine learning,artificial intelligence"
cvscan remove --extra "machine learning,artificial intelligence"
cvscan = Cvscan(name,path)
Convert the input file to raw_text and calls parse class method
cvscan.extract()
cvscan.show()
| 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 |