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A DeepFake Detector using MobileNet v2. A custom dataset was made that contained images labelled as AI and real. A MobileNet v2 model was trained on this dataset to classify it as AI or not by uploading the image or the video on the website.

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varshavkumar12345/DeepFakeDetectionAI

 
 

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index.html , AI_verse.py and requirements.txt are created by collaborators.

Remaining files are created by docker init command.

How to run it

Install wsl

Install docker desktop from website https://www.docker.com/products/docker-desktop/

Open Git bash and clone repository

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Create Dockerfile using command

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Now we should choose versions used

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Build the repository

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Now go to Docker desktop , go to images and run the image

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Run this in docker container , this redirects to output

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Upload a file to check if that video is deepfake or real

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A DeepFake Detector using MobileNet v2. A custom dataset was made that contained images labelled as AI and real. A MobileNet v2 model was trained on this dataset to classify it as AI or not by uploading the image or the video on the website.

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  • HTML 57.3%
  • Python 28.7%
  • Dockerfile 14.0%