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Developed a emotion recognition system using controlled AI and OpenCV, which utilizes dlib library for face detection and Deepface library for emotion recognition. By capturing screenshots of Google Meet sessions, the system predicts emotions ,provides valuable insights for teachers to adapt their teaching methods to their students emotional states

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DeepakSawalka/Emotion-Detection

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Emotion-Detection

Poject Objective:-

1.In the past, teachers in the classroom could identify and detect the emotions of the students. Whether they enjoyed the material or the teaching style, alternative methodologies were used as a result.

2.In the online learning environment, teachers often struggle to comprehend the emotions of the students during lectures.

3.Therefore, we suggest a study that aids teachers in recognizing students' emotions in the classroom by recording each student's face on a camera and detecting their emotions.

4.This project involved developing a research study to categorize facial emotions from static facial photos using deep learning techniques

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Developed a emotion recognition system using controlled AI and OpenCV, which utilizes dlib library for face detection and Deepface library for emotion recognition. By capturing screenshots of Google Meet sessions, the system predicts emotions ,provides valuable insights for teachers to adapt their teaching methods to their students emotional states

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