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Final Year Project enforcing the development of a web application able to detect digital synthetic faces (deepfakes) from videos and images uploaded by the user.

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Deepfake Detective Web App

Deepfakes have raised significant concerns due to their ability to propagate fake news, harm reputations, and have broad societal implications. This project will revolve around conducting a comprehensive investigation, implementing, and analyzing deepfake technology, with a particular focus on developing effective detection methods.

Installation

1). Clone this repository by git clone https://github.com/tyeborg/deepfake-detective.git.

2). Navigate to the flaskapp folder/change the working directory by entering the following in the command line:

cd flaskapp

3). Open the Docker Application and ensure that you don't have any other containers running using docker ps

4). Enter the following to build the Docker container:

docker-compose up --build

5). Visit Deepfake Detective app at: http://localhost:3000

Screen Shot 2023-04-13 at 12 57 59 AM

Deepfake Detective Screencast

sup20486969-milestone-06-screencast.mp4

Dataset Utilized

  • FaceForensics++ - consists of 1000 original video sequences that have been manipulated with Deepfakes.

Languages & Tools Utilized

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Final Year Project enforcing the development of a web application able to detect digital synthetic faces (deepfakes) from videos and images uploaded by the user.

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