• 5th floor, CT1, Building C14 Bac Ha, To Huu street, Dai Mo ward, Hanoi, Vietnam

Online Class Quality Assessment

Duration: 6 months
Objective:  Enable scalable evaluation of online class quality, student engagement, and instructor performance for EdTech providers, automating processes that are currently unscalable through manual review of video recordings.
Solutions: 
Created an intelligent video analytics platform that processes recorded class sessions to assess:
- Student attentiveness and engagement (gaze detection, head pose, emotion)
- Instructor activity and performance
- Class assessment metrics based on predefined KPIs
Outcomes: 
- Improved classroom engagement and efficiency by 25%
- Automated attendance saved time and reduced errors by 90%
- Enhanced student performance through personalized learning pathways
Techstacks:  VLM, LLM, HVEC