Detecting Deepfake Faces with CNN and LSTM

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The integrated deepfake detection system achieves high accuracy in identifying manipulated media.
Utilizing CNNs for feature extraction and LSTMs for temporal analysis improves detection of deepfake anomalies.
The model has been tested on a comprehensive dataset of both authentic and manipulated media.
Visualization modules and a user-friendly interface enhance real-time application and interpretability.

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This investigation utilizes CNN and LSTM to enhance detection accuracy of deepfake content, suggesting a robust solution to misinformation threats.

Mrs. Subhashree D C (2025) studied this question.

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This investigation utilizes CNN and LSTM to enhance detection accuracy of deepfake content, suggesting a robust solution to misinformation threats.