Deep Fake Detection System

Deep Fake Detection System

Gurukiran D P1, Joywin Monteiro2, Karan Anjan3 , Kushal C4 , Nivyashree R5

1Department Of Computer Science and Engineering, Malnad College Of Engineering, Hassan

2 Department Of Computer Science and Engineering, Malnad College Of Engineering, Hassan

3 Department Of Computer Science and Engineering, Malnad College Of Engineering, Hassan

4 Department Of Computer Science and Engineering, Malnad College Of Engineering, Hassan

5 Department Of Computer Science and Engineering, Malnad College Of Engineering, Hassan

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Abstract - Deep learning methods are used by the Deep Fake Detection System to recognize "deepfakes," or distorted media content. Deepfakes are artificial media produced by sophisticated artificial intelligence algorithms that threaten the credibility of media. The goal of our project is to create a reliable system that can discriminate between authentic and modified content in order to stop the spread of false information and protect media integrity. Our goal is to improve deepfake detection efficiency and accuracy by conducting a thorough evaluation of deep learning-based detection techniques. Our technology aims to offer real-time detection capabilities by utilizing sophisticated neural networks and machine learning techniques. This will aid in the continuous endeavors to tackle the widespread occurrence of deepfakes in digital media.

Key Words: Deep Fake Detection, Deep Learning, Media Integrity, Misinformation, Neural Networks