Finalist at Singapore-India Hackathon (Top 5) with cash prize of $2,000 ; Project Idea given special mention by India PM Modi at awards ceremony
Built a end-to-end architectural system that incorporates human pose estimator, emotion recognition and head gaze deep learning model into a customised neural network
Teachl.AI employes a suite of 3 computer vision models that enables a holistic understanding of a student
- Emotion Recognition
- Human Pose Estimation
- Gaze Detection
These outputs are harnessed as inputs into a customized neural network that generates prediction of engagement levels of the student.
The engagement level is then displayed in a classroom heatmap to show the dynamic changes in the classroom engagement. Engagement levels are also plotted onto a dynamic chart to monitor the lesson across the lessons and help teachers to find the optimal time to call for breaks.
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