LECTURE ATTENDEE MONITORING SYSTEM FOR ONLINE EDUCATION

Project Title

LECTURE ATTENDEE MONITORING SYSTEM FOR ONLINE EDUCATION

Project Area of Specialization Artificial IntelligenceProject Summary

Using the Lecture Attending and Monitoring System, teachers can be able to keep a record of lecture attendance and grade the students based on how many classes were missed or postponed. Classes submitted in lecture updates can be gathered by the system and analyzed statistically by the system. Compared to the human technique, the automated monitoring is impressively fast and effective

Project Objectives

The goal of this project is to design and implement the Lecture Attendee Monitoring System for Online Education (LAMSOE). This design is chosen due to its effortlessness and cost-effectiveness. The only equipment required by the user (lecturers and students) is an internet device such as a smartphone tablet or a computer. This is deemed reasonable due to the wide availability and high proprietorship of such devices today. The system is currently in an early prototyping phase to show a working resistance to its concept. This report defines the overall architecture as well as the flow of its implementation. The main advantage of the system is a more correct and faster technique of monitoring the student’s lecture attendance. With this system, it'll be quantitatively easier to discern the students supported their diligence in attending lectures, and therefore also predict their performance due to the correlation between attendance and educational performance. This encouragement motivates the deployment of the system in many trials which can be useful for further development and wider application.

Project Implementation Method

The Lecture Attendee Monitoring System for Online Education (LAMSOE) is a web-based platform that assesses and monitors lectures in an online classroom setting. Multiple requirement variables will be assessed on this system to make it very hardy, comprehensive, and scalable. The process of requirement examination assists in identifying the various traits and features required for the system to perform properly and suit the needs of the users. The application's behavioral properties, as well as its functional mechanisms and modules, are modeled using the Unified Modeling Language (UML).

Benefits of the Project

Students and lecturers may both benefit from online learning since they can pick the learning environment that best matches their needs. When a lecturer delivers an online class, it indicates that students are not needed to attend a physical class, which is highly recommended during this time. Students also do not have to worry about skipping an essential class because of the absence policy. 

Technical Details of Final Deliverable

The technical details of the project are as follows:

1) The application Create on the web app,

3) It required a web cam for face detection.

Final Deliverable of the Project HW/SW integrated systemCore Industry EducationOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Quality EducationRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	33000
Web Camera	Equipment	1	23000	23000
Other	Miscellaneous	1	10000	10000