Resume Ranking using NLP and Machine Learning

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dc.contributor.author Khan, Tabrez
dc.contributor.author Juneja, Afzal Ayub Zubeda (12CO32)
dc.contributor.author Momin, Adnan Ayyas Shaheen(12CO46)
dc.contributor.author Gunduka, Rakesh Narsayya Godavari(12CO29)
dc.contributor.author Sayed, ZainulAbideen Mohd Sadiq Naseem (13CO72)
dc.date.accessioned 2016-05-10T12:21:13Z
dc.date.available 2016-05-10T12:21:13Z
dc.date.issued 2016-05
dc.identifier.uri http://www.aiktcdspace.org:8080/jspui/handle/123456789/1553
dc.description Project Report Submitted in fulfillment of the requirements for the degree of Bachelor of Engineering en_US
dc.description.abstract Using NLP(Natural Language Processing) and ML(Machine Learning) to rank the resumes according to the given constraint, this intelligent system ranks the resume of any format according to the given constraints or the following requirement provided by the client company. We will basically take the bulk of input resume from the client company and that client company will also provide the requirement and the constraints according to which the resume should be ranked by our system. Beside the information provide by the resume we are going to read the candidates social profiles (like LinkedIn, Github etc) which will give us the more genuine information about that candidate. en_US
dc.language.iso en_US en_US
dc.publisher AIKTC en_US
dc.subject Project Report - CO en_US
dc.title Resume Ranking using NLP and Machine Learning en_US
dc.type Project Report en_US


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