AI-Driven Student Attention Monitoring

We are deeply committed to designing AI-powered tools that help teachers track student focus in real time. Our research paper introduces a vision-based system that uses pose estimation and neural networks to monitor attention in classrooms, making lessons more interactive and responsive for teachers.

Accepted for publication at IEEE AIC 2025 World Conference.

Our approach achieved over 84% accuracy in detecting student distractions, helping educators instantly identify when students lose focus. By harnessing computer vision, our solution delivers actionable insights to improve learning outcomes and sets a new standard for smart education technology.

Link to paper 🔗