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This coursework explores deepfakes, including their definition, characteristics, and generation techniques. It examines human challenges in detecting deepfakes, highlighting the need for automated systems to address misidentification issues. The role of multimodal machine learning, with CNNs, LSTMs, and datasets like FaceForensics++, is detailed in developing effective detection pipelines. Challenges such as biases in datasets and adapting to advanced techniques are discussed, emphasising...