Deepfake Detection And Awarness Using CNN
Nikitha, R and Selin Chandra, C S (2026) Deepfake Detection And Awarness Using CNN. Deepfake Detection And Awarness Using CNN.
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Abstract
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.
| Item Type: | Article |
|---|---|
| Subjects: | Computer Science Engineering > Deep Learning |
| Domains: | Computer Science Engineering |
| Depositing User: | Mr IR Admin |
| Date Deposited: | 10 May 2026 18:06 |
| Last Modified: | 10 May 2026 18:06 |
| URI: | https://ir.vistas.ac.in/id/eprint/13740 |
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