Authors :
Megha Vijaya Kumar; Ritendu Bhattacharyya; Adityaveer Dhillon; Sharat Chandra K. Manikonda; Bharani Kumar Depuru
Volume/Issue :
Volume 8 - 2023, Issue 11 - November
Google Scholar :
http://tinyurl.com/2s3ms9hs
Scribd :
http://tinyurl.com/4h8bct3b
DOI :
https://doi.org/10.5281/zenodo.10391069
Abstract :
AiTutor, the Artificial Intelligence Powered
Global Learning Management System, provides an
enhanced monitoring system that aims to improve the
learning abilities of the students, and the teaching ability
of the tutors. There has been a great increase in online
platform learning from various Massive Open Online
Courses (MOOCs). However, it is increasingly difficult
to track the actual learning of the users in these
platforms. There is always a chance that the individual
who has enrolled and the individual who is learning
might be different. This proxy system diminishes the
efforts of people giving great effort, towards creation of
content for individuals to consume. AiTutor works
towards solving this problem. With its advanced Facial
Recognition system, it will track whether the person who
is consuming the content is the actual intended
individual or is it a proxy. Along with this AiTutor
would also be pivotal in tracking the attention and
concentration of the learners.
The key targets for AiTutor include schools,
educational organization, the tutors working for various
such schools and organizations. Employers, who want to
monitor the work performance of their employees, and
various governmental bodies.
This research aims to give a detailed walkthrough
of the product as it stands, and provide details regarding
all aspects of the product. This covers the various tech
stacks used, the implementation of the said technologies,
the reports shown to the different end users. This
provides the workflow of the product. The product
demonstration will cover the working of the various AI
(Artificial Intelligence) engines involved in AiTutor.
Keywords :
Artificial Intelligence, Deep Learning, Computer Vision, Facial Recognition, Emotion Analysis, Behavioral Analysis, Learning Management System, Large Language Models.
AiTutor, the Artificial Intelligence Powered
Global Learning Management System, provides an
enhanced monitoring system that aims to improve the
learning abilities of the students, and the teaching ability
of the tutors. There has been a great increase in online
platform learning from various Massive Open Online
Courses (MOOCs). However, it is increasingly difficult
to track the actual learning of the users in these
platforms. There is always a chance that the individual
who has enrolled and the individual who is learning
might be different. This proxy system diminishes the
efforts of people giving great effort, towards creation of
content for individuals to consume. AiTutor works
towards solving this problem. With its advanced Facial
Recognition system, it will track whether the person who
is consuming the content is the actual intended
individual or is it a proxy. Along with this AiTutor
would also be pivotal in tracking the attention and
concentration of the learners.
The key targets for AiTutor include schools,
educational organization, the tutors working for various
such schools and organizations. Employers, who want to
monitor the work performance of their employees, and
various governmental bodies.
This research aims to give a detailed walkthrough
of the product as it stands, and provide details regarding
all aspects of the product. This covers the various tech
stacks used, the implementation of the said technologies,
the reports shown to the different end users. This
provides the workflow of the product. The product
demonstration will cover the working of the various AI
(Artificial Intelligence) engines involved in AiTutor.
Keywords :
Artificial Intelligence, Deep Learning, Computer Vision, Facial Recognition, Emotion Analysis, Behavioral Analysis, Learning Management System, Large Language Models.
