akshitagupta15june / Face-X

Demonstration of different algorithms and operations on faces. Star the repo⭐
https://discord.gg/QapWBRZbVe
MIT License
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[GSSOC'23] Creation of a Facial Expression to Emoji Avatar Converter #1540

Open sahaycodes opened 1 year ago

sahaycodes commented 1 year ago

Is your feature request related to a problem? Please describe.

I'm a GSSoC'23 Contributor. As Face-X repo has numerous projects on facial recognition and other things. So, it would be a better idea to create a project in which we will capture real-time video of the user and simultaneously create an emoji avatar of their most distinguished emotions.

Describe the solution you'd like

In this project, I would like to explore Deep Learning with Python in addition to GUI creation with Tkinter Collecting the appropriate Dataset for emotion detection , adding the concepts of neural networks to ease out the process.

Describe alternatives you've considered A clear and concise description of any alternative solutions or features you've considered.

1.Importing the necessary python libraries 2.Processing the Emotion Dataset

  1. Using the concepts of Deep Learning (- Neural Networks)
  2. Avatar Creation
  3. Tkinter GUI Creation
  4. Output - Creation of a Facial Expression to Emoji Avatar Converter

Additional context Add any other context or screenshots about the feature request here.

Therefore , kindly assign this issue to me under GSSoC'23 contribution

github-actions[bot] commented 1 year ago

Hello @sahaycodes, Thank you for generating an issue to this project! Please wait while we get back to you.

sahaycodes commented 1 year ago

Hey @akshitagupta15june , I've raised this issue kindly assign me this under GSSoC'23. Waiting for your Response.

sahaycodes commented 1 year ago

Kindly review this issue and please assign it to me.

sahaycodes commented 1 year ago

@akshitagupta15june , @072arushi Kindly review and assign this issue to me, its been quite some time . Waiting for response.

Gaurav-576 commented 4 months ago

I would like to work on this issue as a GSSoC'24 contributor.