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Parsing job candidate résumes with custom NER models

Overview This repository contains a custom NER model designed specifically for parsing essential information from job applicants’ resumes. The model identifies and extracts the following key details:

- Location: The geographical location where the candidate resides or is applying for a job.
- Designation: The candidate’s job title or desired role.
- Name: The candidate’s full name.
- Years of Experience: The total number of years the candidate has worked in relevant roles.
- College: The educational institution where the candidate pursued their degree.
- Degree: The type of degree (e.g., Bachelor’s, Master’s, Ph.D.) obtained by the candidate.
- Graduation Year: The year in which the candidate completed their education.
- Companies Worked At: A list of companies where the candidate has previously been employed.
- Email Address: The candidate’s contact email.

Execution Instructions

  • Install requirements with "pip install -r requirements.txt"

  • Run engine.py

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