Text in a resume file stored in any format is cleaned, extracted and fed to a Natural Language Processing (NLP) module. The NLP module is fine-tuned with the help of Named Entity Recognition (NER) to accommodate the varying needs of different companies and their technical jargons. The extracted, intelligent data is stored in a “.csv” format. The Human Resource Officer (HR) can define constraints on which the HR wants the applicants to be judged. These constraints are used to score each traits from the resume. At last the cumulative score is used to showcase the eligibility of the candidate to the HR.