A Deepfake video detection system is a type of artificial intelligence (AI) and machine learning (ML) based system designed to detect and identify manipulated or fake videos, also known as deepfakes. Here's a detailed description of such a system:.pptx

A Deepfake video detection system is a computer vision-based system that analyzes video frames to identify signs of tampering or manipulation. The system uses various techniques to detect anomalies in the video, such as inconsistencies in facial features, audio-visual mismatches, and other indicators of deepfake generation.

1. Deepfake Detection System

2. Modules Of Development: Introduction Data Collection. Model Creation User Interface(UI) 2

3. Introduction: Deep fake videos are AI-generated videos that look real but are fake. Deep fake videos are generally created by face-swapping techniques. It started as fun but like any technology, it is being misused. 3

4. In the beginning, these videos could be identified by human eyes. But due to the development of machine learning, it became easier to create deep fake videos. 4

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6. Data Collection We will be using DFDC dataset from Facebook. It has more than 400 Gbs of fake and real videos. So it is very beneficial for us. FaceForensics ++ and DFDC( Kaggle Dataset) 6

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16. 16 THANKS!