CV Profiler

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dc.contributor.author Noman Mobeen, 01-235161-064
dc.contributor.author Warda Shahid, 01-235161-085
dc.date.accessioned 2021-01-12T01:12:45Z
dc.date.available 2021-01-12T01:12:45Z
dc.date.issued 2019
dc.identifier.uri http://hdl.handle.net/123456789/10757
dc.description Supervised by Ms Iqra Javed en_US
dc.description.abstract The aim of the project is to automate manually maintained human resource system for organizations. The automated system will seek to meet the needs of Human resource department as it will provide the facility to manager to extract resumes from LinkedIn and store them in repository further they can search through the resumes and find out the most suitable resumes of the candidate that will be suitable for the required job position. The automation of the system will improve the efficiency of the overall process which will make the services better and it will provide a comfort for the human resource management team a structure that provide a good management system in a paper less environment. On the other hand this system will provide interactivity between job seekers and HR management through Linked In. The main concern of this project is to save time, efforts and give comfort. The resultant product will introduce a resume recommender system en_US
dc.language.iso en en_US
dc.publisher Bahria University Islamabad Campus en_US
dc.relation.ispartofseries BS (IT);MFN 9017
dc.subject Computer Science en_US
dc.title CV Profiler en_US
dc.type Project Reports en_US


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