Omkar Pathak
Omkar Pathak
@mady143 you can do it using `python setup.py install`. This will install pyresparser using your pre-trained model. Make sure you uninstall previously installed version or else install your trained pyresparser...
@mady143 for that you need the knowledge of django. You can add you're fields in [views.py](https://github.com/OmkarPathak/ResumeParser/blob/master/resume_parser/parser_app/views.py) and then render them in [template](https://github.com/OmkarPathak/ResumeParser/blob/master/resume_parser/parser_app/templates/base.html)
The main wrapper file for parsing resume is [this](https://github.com/OmkarPathak/ResumeParser/blob/master/resume_parser/resume_parser/resume_parser.py) All the extraction functions (e.g extract_name, extract_mobile_number) can be found [here](https://github.com/OmkarPathak/ResumeParser/blob/master/resume_parser/resume_parser/utils.py)
@NikhilBantia which Python version and SpaCy version are you using?
@DeepLearner7 Columnar resumes are something I am also struggling with. Will let you know if I get some logic built
@karrtikiyer I have been thinking about the same. I will surely add support for this in next release
@karrtikiyer yes definitely. Would love more contributors
@sirrajesh please contact on email
@BenSturgeon yes. We need a large dataset of resumes to train model to produce more robust results. If you can share the CVs it would be really helpful 😄
@BenSturgeon would be happy to share.