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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