Here is how you can make this project 👇👇 In this project, I've utilized OpenCV for facial detection and Dlib for facial landmark detection. The green bounding box around the face is generated using the Haar Cascade Classifier from OpenCV, which is a pre-trained model for detecting objects in images. For emotion recognition, I used a Convolutional Neural Network (CNN) model trained on a dataset like FER-2013. This model processes the detected face and predicts the emotion by analyzing the facia

Read this and you are ready to make your own project !!! In this project, I've utilized OpenCV for facial detection and Dlib for facial landmark detection. The green bounding box around the face is generated using the Haar Cascade Classifier from OpenCV, which is a pre-trained model for detecting objects in images. For emotion recognition, I used a Convolutional Neural Network (CNN) model trained on a dataset like FER-2013. This model processes the detected face and predicts the emotion by analy

EMOTION DETECTION USING CNN ON THE FER-2013 DATASET