This project demonstrates a video analysis system that predicts video authenticity using deep learning techniques, indicating potential to combat misinformation.
Deepfake technology uses Artificial Intelligence to create realistic fake videos by altering facial features, which can lead to serious issues like misinformation and fraud. This project presents a Deepfake Detection System that identifies whether a video is real or fake using deep learning techniques. The system takes a video as input, extracts frames, and performs preprocessing and face detection. The processed images are then analyzed using a Convolutional Neural Network (CNN) to detect inconsistencies. Based on the analysis, the system provides a prediction along with a probability score.
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NIKITHA et al. (2026) studied this question.
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