RESUME MATCHING SYSTEM USING NLP AND MACHINE LEARNING

Project Algorithm :

Naive Bayes, Logistic Regression, SVM, LSTM, BERT, NLP

Project Overview :

Recruiters often receive hundreds of resumes for a single job posting, making manual screening time-consuming and error-prone. This project automates the resume screening process using NLP techniques by matching the content of resumes with job descriptions. The system calculates a similarity score between each resume and the job post to identify the most suitable candidates, helping recruiters focus only on the most relevant applications.

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