Build a DeepFake Detection Engine in AI

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by kandikits dot icon Updated: Aug 23, 2023

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1-Click Kit 1-Click Kit  


Deepfake detection is identifying manipulated or synthetic media content using machine learning algorithms and computer vision techniques. It detects anomalies in facial and body movements, and other visual artifacts.


In this kit, we build a Deepfake Detection Engine using the popular Facenet_pytorch is a Python library that provides implementations of deep learning models for face recognition tasks. It includes pre-trained models such as


  1. MTCNN (Multi-Task Cascaded Convolutional Networks) for face detection and alignment, and
  2. InceptionResnetV1 for detecting whether an image is fake or real.


We use these two models to detect and recognize faces in images with high accuracy. The library is built on top of PyTorch, a popular open-source machine learning framework, and provides an easy-to-use API for face recognition tasks

Deployment Information

For Windows OS,

  1. Download, extract the zip file and run. Do ensure to extract the zip file before running it.
  2. After successful installation of the kit, press 'Y' to run the kit and execute cells in the notebook.
  3. To run the kit manually, press 'N' and locate the zip file 'deepfake-detection.zip'.
  4. Extract the zip file and navigate to the directory 'deepfake-detection'.
  5. Open command prompt in the extracted directory 'deepfake-detection' and run the command 'jupyter notebook'
  6. Locate and open the 'Deepfake_detection.ipynb' notebook from the Jupyter Notebook browser window.
  7. Execute cells in the notebook.


For other Operating Systems,

  1. Click here to download the repository.
  2. Extract the zip file and navigate to the directory deepfake-detection.zip


Click the button below to download the solution and follow the deployment information to begin set-up. This 1-click kit has all the required dependencies and resources to build your DeepFake Detection Engine.

Libraries used in this solution


Development Environment


VSCode and Jupyter Notebook are used for development and debugging. Jupyter Notebook is a web based interactive environment often used for experiments, whereas VSCode is used to get a typical experience of IDE for developers.


Jupyter Notebook is used for our development.

jupyterby jupyter

Python doticonstar image 14404 doticonVersion:Currentdoticon
License: Permissive (BSD-3-Clause)

Jupyter metapackage for installation, docs and chat

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            jupyterby jupyter

            Python doticon star image 14404 doticonVersion:Currentdoticon License: Permissive (BSD-3-Clause)

            Jupyter metapackage for installation, docs and chat
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                      vscodeby microsoft

                      TypeScript doticonstar image 147328 doticonVersion:1.79.2doticon
                      License: Permissive (MIT)

                      Visual Studio Code

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                                vscodeby microsoft

                                TypeScript doticon star image 147328 doticonVersion:1.79.2doticon License: Permissive (MIT)

                                Visual Studio Code
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                                          Machine Learning


                                          Machine learning libraries and frameworks here are helpful in providing state-of-the-art solutions using Machine learning

                                          facenet-pytorchby timesler

                                          Python doticonstar image 3538 doticonVersion:v2.5.3doticon
                                          License: Permissive (MIT)

                                          Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

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                                                    facenet-pytorchby timesler

                                                    Python doticon star image 3538 doticonVersion:v2.5.3doticon License: Permissive (MIT)

                                                    Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
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                                                              pytorchby pytorch

                                                              Python doticonstar image 67874 doticonVersion:v2.0.1doticon
                                                              License: Others (Non-SPDX)

                                                              Tensors and Dynamic neural networks in Python with strong GPU acceleration

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                                                                        pytorchby pytorch

                                                                        Python doticon star image 67874 doticonVersion:v2.0.1doticon License: Others (Non-SPDX)

                                                                        Tensors and Dynamic neural networks in Python with strong GPU acceleration
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                                                                                  Kit Solution Source


                                                                                  deepfake-detectionby kandi1clickkits

                                                                                  Jupyter Notebook doticonstar image 0 doticonVersion:v1.0.0doticon
                                                                                  License: Permissive (Apache-2.0)

                                                                                  Identify the images as real or fake using state-of-the-art AI models

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                                                                                            deepfake-detectionby kandi1clickkits

                                                                                            Jupyter Notebook doticon star image 0 doticonVersion:v1.0.0doticon License: Permissive (Apache-2.0)

                                                                                            Identify the images as real or fake using state-of-the-art AI models
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                                                                                                      API Integration

                                                                                                      gradioby gradio-app

                                                                                                      Python doticonstar image 18771 doticonVersion:v3.35.2doticon
                                                                                                      License: Permissive (Apache-2.0)

                                                                                                      Create UIs for your machine learning model in Python in 3 minutes

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                                                                                                                gradioby gradio-app

                                                                                                                Python doticon star image 18771 doticonVersion:v3.35.2doticon License: Permissive (Apache-2.0)

                                                                                                                Create UIs for your machine learning model in Python in 3 minutes
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