Resume Parser

Automated Resume Screening

Resume screening is the process of identifying if a candidate qualifies for a job by matching the requirements of the role with the information on their resumes such as education, skills, certifications, experience, and achievements. Resume screening is crucial to determine whether a candidate moves to the next stage of the hiring process or not, especially in high-volume application scenarios.

This repository uses Text mining and natural language processing algorithms for screening objectively thousands of resumes in a few minutes without bias to identify the best fit for a job opening based on thresholds, specific criteria or scores

Folder structure for execution

- resume_scoring.py
- scripts
- Job_Description.txt
- skills.csv
- sample
   | Resume_1.pdf
   | Resume_2.pdf
    .
    .
    .
   | Resume_n.pdf

The resumes of the candidates should be in the sample folder. Currently the script only works with PDF/DOCX format.

Local Setup

• Install Miniconda from the following link
• Create a new environment using the following commands

  conda create --name resume_parser -y
  conda activate resume_parser
  conda install pip -y
  conda update --all -y
  

• Set the root directory as Resume_Parser using cd Resume_Parser
• Run pip install -r requirements.txt to install the libraries required to run the script

Steps for executing the script

• There are two files Job_Description.txt and skills.csv which require manual intervention
• The recruiter/person using this script has to copy and paste the Job Description as it is in the Job_Description.txt file and save it
• Recruiter/person using this script has to paste the Primary, Secondary skills in the Primary, Secondary skills column in the skills.csv file respectively
• Once the above files are taken care of, paste all the resumes in the sample folder which are to be used for screening purposes
• Executing python resume_scoring.py will generate Candidates_score.csv file which is sorted in a descending order where the candidate with the highest score will be on the first row
• This file can then be viewed in a spreadsheet application to go through the relevant candidates

Docker Setup and Execution instructions

• Install docker from their official website for the OS that you are currently working on (Windows/MacOS/Linux)
• Dockerfile.yaml contains all the instructions required to setup everything
• Following are the commands to setup the docker container

  docker build -t resume_scoring -f Dockerfile.yaml .
  docker run -it resume_scoring:latest bash
  

• Copy the sample/resume, Job_Description.txt, skills.csv files from the host pc to the docker container using docker cp <SOURCE_DIR> resume_scoring:/home/Resume_Parser/

Note: This is currently a prototype which requires a lot of human intervention. This can easily be used as a web app to streamline all the inputs and outputs in a proper definitive way. Due to less time, I couldn't work on it so if anyone is willing to create a pull request and collaborate on this I'll be more than happy to work on it

If you have any issues, please feel free to create a pull request or reach out to me at thakkar.dhaval.haresh@gmail.com

License

MIT Free Software, Hell Yeah!