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Smart Job Interviewer

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dc.contributor.author Kamgaiveniyan, Suganthy
dc.date.accessioned 2021-07-28T05:57:26Z
dc.date.available 2021-07-28T05:57:26Z
dc.date.issued 2020
dc.identifier.citation Kamgaiveniyan, Suganthy (2020) Smart Job Interviewer, BEng. Dissertation Informatics Institute of Technology en_US
dc.identifier.other 2017800
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/612
dc.description.abstract Most companies hire employees through an interviewing process consisting of multiple steps. The applicants have to be present at the relevant offices to face each of those interviews. Multiple rounds of the interviewing process may be held on different dates and the applicant has to come to the office several times even for a basic interview. Furthermore a company usually receives thousands of applications for a single position they advertise for. They may find it difficult to filter the applicants who possess basic technical qualifications for the specified position out of this large amount of applicants. Therefore it consumes time and financial resources of the recruiting company as well as the candidates. Hence, the solution is focused to develop an interactive online web based platform to conduct a basic technical interview to facilitate the recruitment process. The system allows candidates to upload their resumes and the candidate’s technical skills and other information are extracted from these resumes. A set of basic technical questions are generated and asked from the interviewee based on the extracted skills from the resume. The overall goal of the solution is to provide a cost effective and efficient platform to assess technical aspects of an interviewee. en_US
dc.subject Cosine similarity algorithm en_US
dc.subject Natural language processing en_US
dc.subject Speech Recognition en_US
dc.title Smart Job Interviewer en_US
dc.type Thesis en_US


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