Deep Fake Video Detection using Neural Networks

As of late, the multiplication of free profound learning programming apparatuses has fundamentally worked with the advancement of practical face trades in recordings, bringing about the development of "DeepFake" (DF) recordings with negligible hints of control. These AI- generated media, commonly known as DF, can now be generated with relative ease using artificially intelligent tools. However, despite the simplicity of generating DF using AI tools, detecting such manipulated content remains a significant challenge. Training algorithms to identify DF is inherently complex. We expect to achieve promising results against a comprehensive dataset of fake videos sourced from standard repositories.