The Smart Classroom Management and Assessment project, created by Acil Belhadef from Algeria, uses Artificial Intelligence techniques such as Face Detection and Recognition, Human Body Detection, NLP, Data Logger, and Text to Speech to manage and evaluate students in a smarter way. The system is built on the Pictoblox coding platform, a graphical programming software which is easy to learn. The goal is to build a smarter classroom system which promotes active interactions between the learners andand teachers through various technologies.
The project is made up of four steps: Image Storage, Attendance Monitoring, Sentiment Analysis, and Question and Answer. In the Image Storage step, the teacher uploads the photos of each student at the beginning of the year. Attendance Monitoring is based on two Pictoblox extensions which are Face Detection and Face Recognition. Sentiment Analysis is based on NLP, which evaluates the students’ responses to the teacher’s questions. The last step is Question and Answer, which is based on the Machine Learning extension of Pictoblox.
