Publication Date: 2023/12/15
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.
DOI: https://doi.org/10.5281/zenodo.10391069
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23NOV2292.pdf
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