Article’s

Resume Ranking engine using ML

Mantripragada Akshaya Pranathi

(07 – 2026)

DOI: 10.5281/zenodo.21535359

 

Recruitment is an important process for organizations, but manually reviewing a large number of resumes takes a lot of time and effort. Recruiters may also miss suitable candidates when screening resumes manually. To solve this problem, this research proposes a Resume Ranking Engine using Machine Learning that automatically analyzes and ranks resumes based on job requirements. The system uses Natural Language Processing (NLP) techniques to extract important information such as skills, education, and experience from resumes

 

 

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