Spaces:

---

whalelin

/

online_teaching

like 0

Sleeping

Our Online Teaching Project uses facial detection and emotion recognition to monitor student engagement in online classes. Key features include:

1. Facial Detection and Emotion Recognition: Real-time tracking of student facial expressions.
2. Emotion Tracking: Continuous marking of facial expressions for detailed analysis.
3. Statistical Analysis: Aggregates emotional data for post-class review, helping teachers improve their strategies.

We request GPU support to enhance real-time processing and model accuracy. Your grant will help us deploy this solution effectively.