Commit 5e9f66b8 authored by I.K Seneviratne's avatar I.K Seneviratne

Update README.md

parent 14efd434
......@@ -48,10 +48,32 @@ The main research questions came up for the project were based on each individua
## Individual Objectives
The main objectives of the research project could be further split into individual objectives which elaborates purpose of the project in much detail.
### Attendance Register
* Tracking student attendance using facial detection and facial recognition.
* Notify and getting opinion from the students who are absent and students who are leaving the lecture in the during a specified time period.
* Setting up student data and respective course data in an adaptive manner.
* Provide an overview for the lecturer regarding student attendance through a dashboard and predicting future attendance.
### Monitoring Student Behavior
* Monitoring student behavior within the classroom during lecture periods to identify potential problem areas in retaining student attention and adapting the lecturing styles to suit the student needs.
* Identifying the concentration level, emotion expressions and general behavior of students within 2-hour lecture duration using facial recognition, emotion recognition and motion detection employing computer vision technologies.
* Determining the dependency between student behavior and the lecturer behavior by analyzing overall behavior status of students and lecturer for a given time frame during the lecture.
### Lecture Summarizing
* Understand lecturer’s voice and filter the lecturer’s voice by removing background noises and silent pauses
* Convert the noise-filtered audio into text
* Summarize the converted text and present as a document.
* Identify the important points of the lecture to display them highlighted.
* Display important notices mentioned in the lecture.
### Monitoring Lecturer Performance
* Monitoring lecturers’ behavior by analyzing the teaching style in a lecture hall during the lecture hours.
* Identifying the lectures emotional state when the lecture is conducting.
* Generating an end-semester feedback of the lecturer giving a summary of their performance.
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