Resume Screening Is The Process Of
Analyzing The Resumes Where The Candidates
Apply For The Different Types Of Jobs Where The
Company Feel The Tedious Job To Find The Appropriate
Candidate Due To The Complexity In Resumes Formats
Since It Has Different Styles. As A Result, Selecting
Applicants For The Appropriate Job Within A Company
Is A Difficult Task For Recruiters. We Can Extract The
Key Information From The CV Using NLTK, Natural
Language Processing (NLP) Techniques To Save Time
And Effort. This System Could Work With A Large
Number Of Resumes For Classifying The Right
Categories Using Different Classifiers Like KNN,
SVM, MLP, LR. Furthermore, This System Attempts
To Find The Accuracy And Performance Of The
Proposed Methodology And Incorporate It In The IT
Firms And Other Regulations For The Prevention Of
Manual Screening And Establish A Safe Allocation Of
Resources For The Companies.
