A novel AI-powered system for tracking student attendance and engagement in offline classrooms. Leveraging facial expressions and academic affective states
Transforming Education
Our AI-based solution integrates innovative technologies to provide an efficient attendance tracking process and a more interactive classroom setup.
Streamline attendance and boost engagement. Say goodbye to attendance woes! Join us for a smoother classroom flow.
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Results of Model
Results from other models and our test sets
65.70%
CNN Model66.28%
VGG Model72.38%
ER Model70%
Our ModelIMPLEMENTATION
Traditionally, teachers have tracked student attendance manually by taking roll call or using a sign-in sheet. This method can be time-consuming and inaccurate. So we proposed system offers significant advantages over traditional methods by providing automatic and attendance marking and enhanced engagement tracking.Data Collection and Analysis
Ensure all attendance data for the desired period has been collected and cleaned. Analyze attendance patterns, identify trends, and calculate average attendance rates. Investigate factors influencing attendance, such as time of day, subject, instructor, etc.Engagement Data
Collect data on student engagement metrics such as attention levels, participation, and interaction with learning materials. Analyze engagement data to identify students who may require additional support or personalized learning interventions.Model Development and Training
Train the model on the collected attendance and engagement data. Fine-tune the model parameters to optimize its performance. Evaluate the performance of the trained model on a separate test dataset. Analyze the model's accuracy, precision, recall, and other relevant metricsSystem Integration and Deployment
Integrate the AI model with existing student information systems and learning management platforms.Monitor the system's performance and gather feedback from users. Make necessary adjustments and improvements based on feedback.User Reviews
User Reviews of the AI-powered Classroom Attendance and Engagement System
FAQs
What is this system?
This is an AI-powered system that uses facial recognition and analysis to track student attendance and engagement levels in offline classrooms.How does it work?
Cameras capture student faces . The system identifies students and tracks attendance. AI analyzes facial expressions engagement measuredWhat is the accuracy?
The system is still under development, and accuracy of system can be affected by factors like lighting, position of camera head position. etcWhat is "academic affective state"?
Academic affective state refers to a student's emotional state and level of engagement and participation in the in learning activities.Still have a question?