apu52 / METAVERSE

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[Feature Request]: DEEPFAKE DETECTION OF VIDEO USING TRAINED NEURAL NETWORK WEB APP #861

Closed AbheetHacker4278 closed 1 day ago

AbheetHacker4278 commented 3 days ago

Is there an existing issue for this?

Feature Description

Deepfake Videos are major challenge in todays world , so i introduce my Deepfake detection model using Resnext50 and LSTM NN Model using Python(Django), HTML , CSS , JS.

DeepFake Detection using Res-Next50 model which is been trained using various

datasets like , Celeb-Df Dataset , FaceForensics++ Dataset , Challenge Dataset , which can do Sequential analyse of the video by dividing the video into 20 parts and analyse those parts on the basis of face tone , color , replaced face structrure(nose , eyes , mouth).

Use Case

Easily can Used for various type of videos for detect by comparing the pretrained 6000+ videos

Benefits

Can Easily Tell Which Video is FAKE or REAL

@apu52 Please Assign this Issue to Me under GSSOC24

Add ScreenShots

Screenshot 2024-06-26 114256

image

Priority

High

Record

github-actions[bot] commented 3 days ago

Hello @AbheetHacker4278 Thank you for creating a new issue! πŸŽ‰ Your issue is currently under review. Please wait till the issue is reviewed and assigned.

github-actions[bot] commented 3 days ago

Congratulations, @AbheetHacker4278! πŸŽ‰ Thank you for creating your issue. Your contribution is greatly appreciated and we look forward to working with you to resolve the issue. Keep up the great work!

We will promptly review your changes and offer feedback. Keep up the excellent work! Kindly remember to check our contributing guidelines

heysagnik commented 1 day ago

@AbheetHacker4278 sorry, we are not accepting any new projects.

cc: @apu52

github-actions[bot] commented 1 day ago

Hey @AbheetHacker4278 ! Just wanted to inform you that the issue has been closed Would like to see you again.