DEEPFAKE BUSTER: AI-POWERED DEEPFAKE DETECTION
Deepfake technology has rapidly advanced, making it difficult to distinguish between real and manipulated media.This poses serious risks, including misinformation, identity theft, and fraud. Our project, Deepfake Buster, aims todetect AI-generated deepfake videos using machine learning techniques. By analyzing facial movements,inconsistencies, and pixel-level artifacts, our system can identify manipulated content with high accuracy. The modelis trained on a dataset of real and fake videos to improve detection efficiency. This project helps combat digitaldeception and ensures the authenticity of visual content.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-03-28
- DOI
- https://doi.org/10.5281/zenodo.15099432
- Primary Topic
- Generative Adversarial Networks and Image Synthesis
- Type
- article
- Field-Weighted Citation Impact
- 0.00