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

Merit | Edge Resume Parser and Scorer

To use:

• Must have Latex installed! https://miktex.org/2.9/setup
• Download the pdfquery --> pip install pdfquery

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)

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

Edited in April 2018 to work in python 3.6