This tool uses multiple detection methods to identify AI-generated images and videos
-
Updated
Mar 17, 2025 - Python
#
fake-video-detection
Here are 4 public repositories matching this topic...
This repository contains a Deep Fake Detection model that uses Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks to analyze videos and detect deepfake content. The model extracts frames from videos, processes them using deep learning techniques, and determines whether the video is real or fake based on trained data.
machine-learning computer-vision deep-learning tensorflow video-processing face-detection data-augmentation cnn-lstm deepfake-detection streamlit-app fake-video-detection ai-forensics
-
Updated
Mar 30, 2025 - Jupyter Notebook
Automating YouTube Clickbait Detection using sentiment analysis, metadata, and thumbnails to classify video content effectively
sentiment-analysis youtube-api nltk clickbait vader text-blob clickbait-detection fake-video-detection
-
Updated
Mar 16, 2025 - Jupyter Notebook
This repository contains a Streamlit-based application for finding the video is fake or not fake
-
Updated
Nov 8, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to the fake-video-detection topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the fake-video-detection topic, visit your repo's landing page and select "manage topics."