Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/11369
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dc.contributor.authorPatel, Seval-
dc.date.accessioned2022-11-11T08:45:43Z-
dc.date.available2022-11-11T08:45:43Z-
dc.date.issued2022-06-01-
dc.identifier.urihttp://10.1.7.192:80/jspui/handle/123456789/11369-
dc.description.abstractOnline mode of education has gained a lot of popularity during this covid-19 pandemic. All the fundamental methods of the meetings and events are converted into virtual conferences and virtual events. The online mode of education takes place with online video conferencing solutions that are readily available and easily accessible. There are several problems encountered in online education. The teacher is busy explaining the concept, but students may not be attentive during the class. Many times online classes feel uninteresting as well. Students feel sleepy during the online courses. Limited internet connectivity may result in poor quality of the video stream of the students. As a result, the teacher cannot decide whether a person is studying. There are many problems with online education. To overcome and minimize those hurdles and increase the effectiveness of the online classes, we proposed the AI enables system called Smart Focus Tracker. The smart focus tracker provides the end-to-end solution for student attentiveness tracking in online courses. The Smart focus tracker comes with innovative features such as Gaze-Tracker for the student to track alertness. This eye gesture alters the maximum utilization of the component of the online classes, the hand gesture detection to ease the usage of video conference software and make learning more interactive. Smart Focus Tracker's proposed project can make online learning more effective for students and teachers than available learning platforms.en_US
dc.publisherInstitute of Technologyen_US
dc.relation.ispartofseries20MCEI11;-
dc.subjectComputer 2020en_US
dc.subjectProject Report 2020en_US
dc.subjectComputer Project Reporten_US
dc.subjectProject Reporten_US
dc.subject20MCEIen_US
dc.subject20MCEI11en_US
dc.subjectINSen_US
dc.subjectINS 2020en_US
dc.subjectCE (INS)en_US
dc.titleSmart Focus Trackeren_US
dc.typeDissertationen_US
Appears in Collections:Dissertation, CE (INS)

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