Deep Fake Detection System

Authenticity of Smart Media A method called Deep Fake identification With Machine Learning uses deep learning approaches to enhance the identification of AI-manipulated media. Artificial intelligence (AI) produces incredibly lifelike synthetic movies known as “deep fakes,” which can cause political instability, disinformation, and harm to one’s reputation. This project uses preprocessing methods like face cropping and frame extraction to analyse video material. While LSTM is used for temporal sequence modelling to categorise movies as real or deepfake, ResNeXt CNN is employed for feature extraction. Real-time detection and increased accuracy are the outcomes of the system’s automation of video forensics. It guarantees dependable results and offers users an easy-to-use online interface by utilising deep learning.