Skip to content

Latest commit

 

History

History
42 lines (23 loc) · 929 Bytes

File metadata and controls

42 lines (23 loc) · 929 Bytes

Resume parser

Simple web-app made with streamlit that parses a resume to retreive a list of candidate "skills".

I primarly built this to play with Spacy's entity-ruler which allows you to build a rule based NER model. The ruler uses patterns provided in the temp.jsonl dataset.

Requirement

  • Streamlit
  • Spacy
  • NLTK
  • Textract

Usage

Clone it!

$ git clone https://github.com/senthilkumar1729/resume_parser.git

Go into the project directory and run the command:

$ streamlit run streamlit_app.py

Open http://localhost:8501 and upload a pdf that needs parsing!

Web-app

resume

Upload your pdf and click on 'Get Skills'

skillls

The webpage should return a list of skills!