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| dc.contributor.author | Wasi, Hamza bin Reg # 28260 | |
| dc.contributor.author | Khan, Zain Ali Reg # 35483 | |
| dc.contributor.author | Khan, Muhammad Mujtaba Reg # 28296 | |
| dc.date.accessioned | 2019-07-31T07:05:05Z | |
| dc.date.available | 2019-07-31T07:05:05Z | |
| dc.date.issued | 2018 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/8875 | |
| dc.description | Supervised by Engr. Ahmed Faraz | en_US |
| dc.description.abstract | Pro Recruit has been created to solve hurdles in recruitment and headhunt which were facing by both industries and job seekers because lack of the use of latest technology. Pro Recruit will utilize artificial intelligence for predicting the best candidates according to attributes described by recruiter. Current job portals in Pakistan don’t provide a proper applicant tracking system or candidate sourcing, also posting a job costs around 10,000 We are developing a much cheaper yet efficient solution for a lot of HRrupees departments by analyzing historical data to source and predict the most fitting candidates for a position. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | Bahria University Karachi Campus | en_US |
| dc.relation.ispartofseries | BSE;MFN 113 | |
| dc.title | ProRecruit | en_US |
| dc.type | Thesis | en_US |
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BSE (BUKC) [86]