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

Upload your pdf and click on 'Get Skills'

The webpage should return a list of skills!