Effective delivery of online education to students has been a major concern during this period of crisis. Students as well as educators faced a lot of different challenges like lack of interaction, improper evaluation, inability to ensure attentiveness and personal attention towards lacking students. As this was an unforeseen situation, the education we already had were designed to support education not deliver. Platform’s that can deliver online education to students effectively must be developed to prevent loss in the upcoming future.
We aim to develop an application that can at least partially solve those issues. This platform will have the facility to provide study material to students in the form of videos, pdf and urls. It will provide alternatives for assessment such as MCQ based quizzes and handwritten submissions. Apart from this educators can conduct online classes from the same platform ensuring proper delivery. We will also use ML models to predict and assess progress of the students so that the parents and teachers are aware of it. All in all this is going to be an upgraded version on LMS (Learning Management System) platforms that we are already aware of.
Making an effrective Machine Learning Model
Bug in peer.js api for video conferencing
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