abhijithjadhav/Deepfake_detection_using_deep_learning
This projects aims in detection of video deepfakes using deep learning techniques like RestNext and LSTM. We have achived deepfake detection by using transfer learning where the pretrained RestNext CNN is used to obtain a feature vector, further the LSTM layer is trained using the features. For more details follow the documentaion.
This tool helps identify if a video has been manipulated or is a 'deepfake.' You provide a video file, and it tells you whether the video is likely authentic or generated by AI. It's designed for anyone who needs to verify the authenticity of video content, such as journalists, researchers, or social media content moderators.
840 stars. No commits in the last 6 months.
Use this if you need a quick way to check if a video might be a deepfake without needing specialized forensic tools.
Not ideal if you require highly detailed forensic analysis for legal evidence or extremely high-stakes verification where minor inaccuracies cannot be tolerated.
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GPL-3.0
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Last pushed
Jul 28, 2024
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