App Based LMS with Facial Recognition Attendance

Muhammad Umar, 01-235172-042; Abdulllah Babar, 01-235172-003

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dc.contributor.author	Muhammad Umar, 01-235172-042
dc.contributor.author	Abdulllah Babar, 01-235172-003
dc.date.accessioned	2022-01-17T10:07:24Z
dc.date.available	2022-01-17T10:07:24Z
dc.date.issued	2021
dc.identifier.uri	http://hdl.handle.net/123456789/11641
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.	en_US
dc.language.iso	en	en_US
dc.publisher	Computer Science & IT BUIC	en_US
dc.relation.ispartofseries	BS (IT);MFN-P 9758
dc.subject	Computer Science	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