Student Attentiveness Detection

Personal Project

• Developed a tailored Convolutional Neural Network (CNN) model to accurately assess student attentiveness in real-time scenarios
• Achieved an 85% accuracy rate in detecting and monitoring student engagement.
• Leveraged deep learning techniques within the project to ensure precise analysis of student behavior and attentiveness
• dataset link: http://mrl.cs.vsb.cz/eyedataset

Demo Video

This is the demostration of the actual working project that you can also test and try on your local devices

drowsiness-detection.mp4

Technologies used

• Python
• Deep learning
• CNN(convolution neural network)
• Open CV