saifujasoor/Automatic-Resume-Ranking-with-dataset-and-model
This project enables recruiters to wade through an ocean of resumes (especially during high-volume recruiting) to find the perfect candidates that match the job requirements. It filters applications based on skills, education, experience, or anything that is a requirement for an open role.
This project helps recruiters efficiently sort through a large volume of resumes to find candidates who best match job requirements. It takes a job description and a collection of resumes as input, then scores each resume based on how well it aligns with the job's skills, education, and experience. The output is a ranked list of candidates, allowing recruiters to quickly identify top applicants.
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Use this if you are a recruiter or hiring manager overwhelmed by numerous applications and need an automated way to rank resumes against a specific job description.
Not ideal if you need a solution for very niche roles with highly specialized or rapidly changing technical jargon that might not be captured by general technical datasets.
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Jun 22, 2022
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