Classification of emotions in images and videos

[Pranshu-jais]

Is your feature request related to a problem? Please describe.
The current system lacks the ability to accurately classify emotions in video and images, which is crucial for applications in mental health monitoring, customer service, and human-computer interaction. Existing methods often fail to capture the nuances of human emotions, leading to inaccurate or unreliable results.

Describe the solution you'd like
I propose developing a convolutional neural network (CNN) model that can accurately classify emotions in video and images. This model will be trained on a diverse dataset to recognize a wide range of emotions, improving the accuracy and reliability of emotion classification. The solution should integrate seamlessly with existing systems and provide real-time emotion detection.

please assign this issue to me under gssoc-ext 2024

[github-actions]

Thank you for creating this issue! 🎉 We'll look into it as soon as possible. In the meantime, please make sure to provide all the necessary details and context. Your contributions are highly appreciated! 😊

[UppuluriKalyani]

@Pranshu-jais Proceed!

[github-actions]

Hello @Pranshu-jais! Your issue #77 has been closed. Thank you for your contribution!