This project aims to classify the emotion on a person’s face into one of seven categories, using deep convolutional neural networks.
This emotion detector was built using Keras and Tensorflow library. Used Adam and RMSprop optimizer to increase the accuracy of the model
Data was used from Kaggle which is a freely available platform for data scientists.
Data-https://www.kaggle.com/datasets/msambare/fer2013
1.Python
2.Jupyter notebook, visual studio code as IDE