JobStreet

Muhammad Sarmad, 01-134192-064; Hafiz Ahmed Jee Qamar, 01-134192-017

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dc.contributor.author	Muhammad Sarmad, 01-134192-064
dc.contributor.author	Hafiz Ahmed Jee Qamar, 01-134192-017
dc.date.accessioned	2023-07-24T04:58:20Z
dc.date.available	2023-07-24T04:58:20Z
dc.date.issued	2023
dc.identifier.uri	http://hdl.handle.net/123456789/15727
dc.description	Supervised by Mr. Zeeshan Aslam	en_US
dc.description.abstract	Many fresh candidate does not know their worth in the market according to their skills. These people do unpaid internships even after having a lot of potential and skills in them or they get a very less pay which is not according to their skills. On the other hand, it is slightly difficult for the HR manager to take test and check level of expertise for each candidate. Our website is basically solution to this problem. “JobStreet” is a website based application. It will be used to find the experience and expertise of candidates in their educational field. It will be very beneficial for the HR of the organizations. This project is focused on the fresh candidates in this project we will the lexical approach and the data will be trained through AI algorithms. Basically, this project is a quiz based web application and it will be very beneficial for students as they will know their level and also it will be beneficial for the HR of the organizations	en_US
dc.language.iso	en	en_US
dc.publisher	Computer Sciences	en_US
dc.relation.ispartofseries	BS (CS);P-2118
dc.subject	JobStreet	en_US
dc.subject	Potential and Skills	en_US
dc.title	JobStreet	en_US
dc.type	Project Reports	en_US