DEEP FAKE VIDEO DETECTION USING DEEP LEARNING









Abstract

Deep learning has been used to handle a variety of complicated challenges, including large data analytics, computer vision, and human-level control. Deep-fake is a recent example of a deep learning- powered application. Deep-fake algorithms can make fake images and movies that are difficult to tell apart from real ones. As a result, the development of tools that can detect and analyze the integrity of digital visual material is critical. We use FaceForensics++’s training and evaluation datasets, which include four datasets built using four distinct deep-fake methods. In this paper, we achieve 70 to 80 percent accuracy in the experimental environment by using deep learning model for detecting the fake video. We create a web platform for detecting fake video. This study helps to identify the deep-fake videos.


Modules


Algorithms


Software And Hardware