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May 6, 20260 citationsOpen Access

Deepfake Detection And Awareness Using CNN

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NNNikitha R NIKITHASCSelin C.S SELIN CHANDRA

Key Points

  • The project aims to develop a system that identifies real or fake videos using deep learning.
  • Developed a Deepfake Detection System utilizing AI and CNN.
  • Extracted frames from input videos for analysis.
  • Performed preprocessing and face detection on extracted frames.
  • Used deep learning techniques to analyze images for inconsistencies.
  • Successfully detected inconsistencies in fake videos using the system.
  • Provided predictions along with probability scores for video authenticity.

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.

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Cite This Study

NIKITHA et al. (2026) studied this question.

synapsesocial.com/papers/69fa97ce04f884e66b531aefhttps://doi.org/10.5281/zenodo.20026543
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