Deepfake Buster: Ai-powered Deepfake Detection
Year: 2025
Type: article
Abstract: 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.
Authors: M. Shravan Kumar, Addepalli Bindhu Priya, Kurva Mayuri, Abdul Mubeen
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6949472107
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