https://github.com/shiva-khatter/dart---deepfake-analysis-and-realism-test
DART detects deepfakes by identifying tampered faces in images using CNNs like InceptionV3 and GRUs for subtle inconsistencies. It also analyzes video frame-by-frame to catch temporal anomalies. Deployed with Flask, DART processes uploads in real-time, achieving over 90% accuracy on diverse datasets.
https://github.com/shiva-khatter/dart---deepfake-analysis-and-realism-test
cnn deep-learning deepfake-detection flask gru inceptionv3 jupyter-notebook neural-network python rnn
Last synced: about 2 months ago
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DART detects deepfakes by identifying tampered faces in images using CNNs like InceptionV3 and GRUs for subtle inconsistencies. It also analyzes video frame-by-frame to catch temporal anomalies. Deployed with Flask, DART processes uploads in real-time, achieving over 90% accuracy on diverse datasets.
- Host: GitHub
- URL: https://github.com/shiva-khatter/dart---deepfake-analysis-and-realism-test
- Owner: Shiva-Khatter
- Created: 2025-03-07T06:55:37.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2025-03-07T07:56:39.000Z (about 2 months ago)
- Last Synced: 2025-03-07T08:28:27.172Z (about 2 months ago)
- Topics: cnn, deep-learning, deepfake-detection, flask, gru, inceptionv3, jupyter-notebook, neural-network, python, rnn
- Language: Jupyter Notebook
- Homepage:
- Size: 17.8 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0