RESUME PARSING USING MACHINE LEARNING AND NLP

RESUME PARSING USING MACHINE LEARNING AND NLP

Mr.R.Vignesh1, Ms.C. Chithra Devi2

1Student (M.Sc.Information Technology) & Rathinam College of Arts and Science.

2Assistant Professor Department of Information Technology & Rathinam College of Arts and Science.

ABSTRACT - Machine Learning is a branch of computer science that focuses on using data and algorithms to replicate how humans learn and gradually improving the accuracy of its analysis. Agencies and other high-level organisations must deal with a big number of new job openings that require a variety of resumes. The tool that makes the hiring process easier for both candidates and recruiters. We extract crucial data such as education, experience, and abilities from resumes using Natural Language Processing (NLP) techniques, making them easier to digest and analyse. NLP also allows for the construction of visually appealing and remarkable career materials such as resumes, cover letters, and websites. Based on keyword matching, the programme groups terms into sectors and gives suggestions, predictions, and insights. This considerably minimises the load on candidates and recruiters, resulting in a more efficient hiring process.

Keywords: Resume, CV, NLTK, NLP, KNN