App Based LMS with Facial Recognition Attendance

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dc.contributor.author Muhammad Umar, 01-235172-042
dc.contributor.author Abdullah Babar, 01-235172-003
dc.date.accessioned 2023-08-11T07:26:08Z
dc.date.available 2023-08-11T07:26:08Z
dc.date.issued 2021
dc.identifier.uri http://hdl.handle.net/123456789/15964
dc.description Supervised by Ms. Alyia Amir en_US
dc.description.abstract We are proposing to introduce a unique fl f L Covid-19 pandemic when all fields of r fl orm 0 h. ~S for our academic institutes during the I re t.a bl e. Tl1 1. s L MS app will be installedI e ares Jftmg to cybe rspace as 1.t .ts efficient and F h . onto our phone and th .11 b urt ~~ore, onhne LMS is environment friend) . u~ WI . e always in our reach. electricity and paper. Y as It saves umverstty resources such as Our aim is to provide secure means of takin attendan . . .. used for content delivery course outl;"'e ~ ce via facial recognttJon. LMS can be ' U! , assignments quizzes d k. can keep track of their dai Jy progress and t h ' an ta mg exams. The users students. It allows teachers to upload all ki e~c ;rs can easily ~onitor the perfonnance of their students and only an authorized person. en_US
dc.language.iso en en_US
dc.publisher Computer Sciences en_US
dc.relation.ispartofseries BS (IT);P-01725
dc.subject App Based en_US
dc.subject LMS en_US
dc.subject Facial Recognition Attendance en_US
dc.title App Based LMS with Facial Recognition Attendance en_US
dc.type Project Reports en_US


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