CogniClass project aims to address the challenges faced in classroom engagement and evaluation by establishing a user-friendly and Ministry of Education-approved platform. The platform will have the following features: - Student activity monitoring: the platform will record student movements and interactions within the classroom, providing valuable insights into their engagement levels. - Data analysis and reporting: analyzing the collected data, the platform will generate monthly reports that highlight each student’s academic progress, identify weaknesses, and offer specific suggestions for improvement. - Improved parent-teacher communication: the generated reports will be shared with parents, fostering effective communication between teachers and parents regarding the student’s educational status. This will enable proactive intervention and collaboration towards the student’s development. - Examination behavior monitoring: the platform will also monitor students’ behavior during exams, accurately identifying any violations or misconduct. The administration will be promptly notified, providing them with the necessary information to take appropriate actions. The project’s AI models are: - Face recognition and tracking model. - Activity analysis model. - The recommendation system.
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