Adding Project : Facial Expression Recognition with PyTorch

[revanth1718]

✔️ Involved training neural networks to accurately classify facial expressions using annotated facial image datasets, models were constructed and trained with PyTorch's deep learning capabilities.
✔️ Project was employed by convolutional neural networks (CNNs).
✔️ The success of the project was gauged through the model's proficiency in accurately identifying expressions on unseen data, with potential applications ranging from emotion-aware interfaces to behavioral analysis in psychology and market research.

I am Participating in GSSOC'24.

[github-actions]

Thanks for creating the issue,Please read the Pinned issued first and Readme.md in each Pull Request you made. Keep learning...

[aryanchauh]

@Niketkumardheeryan hello sir I can write this code accurately. can u assign me this issue please

[Niketkumardheeryan]

@revanth1718 go for it. Ensure to follow Project guidelines.

[ldneal]

Hello SIr Can you assign me in this project to contribute it So i see the project issue
.The data consists of 48x48 pixel grayscale images of faces.
.The faces have been automatically registered so that the face is more or less centered and occupies about the same amount of
space in each image.
.The task is to categorize each face based on the emotion shown in the facial expression in to one of seven categories:
1.Angry
2.Disgust
3.Fear
4.Happy
5.Sad
6.Surprise,
7.Neutral