Students Engagement Detection Using Hybrid EfficientNetB7 Together With TCN, LSTM, and Bi-LSTM (DAiSEE and VRESEE datasets)
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Updated
Jun 2, 2024 - Jupyter Notebook
Students Engagement Detection Using Hybrid EfficientNetB7 Together With TCN, LSTM, and Bi-LSTM (DAiSEE and VRESEE datasets)
Investigating Udacity student engagement and performance.
A computer vision project for detecting student concentration levels using image classification techniques. The concentration levels can be one amongst the following two: engaged and not engaged.
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