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Resume-Parser

Analyze, score and rank a collection of PDF resumes using machine learning

Merit | Edge Resume Parser and Scorer

Dependencies

  • Must have Latex installed!
  • pdfquery (pip install pdfquey)
  • pdfminer (pip install pdfminer)

Our resume parser and scorer use these components to create a Latex .pdf file of results:

  • Category score (what field your resume seems best suited for)
  • Overall score (how well your resume scored across different fields)
  • University score (how high your school is ranked)
  • GPA score (how high your GPA is)
  • Word count (if your resume has too few words or too many words)
  • Word count per section, i.e. Experience, Leadership, and/or Projects
  • Degree score (if you have a degree required for the position - mostly based on user input)

How to Use

python cvparseV2.py

By running this program, you will be able to produce a Latex file with these results filed by resume email and will also have a total score at the bottom.

Created by: Sara Adkins, Ashley Wong, Jonathan Merrin, Nazli Uzgur for YHacks 2015