Unmasking the digital illusion
This study delves further into the realm of deepfake. One of the biggest issues at the moment is deepfake, which involves innocent people without their knowledge. There are a lot of deepfake cases. Our solution helps a lot of people with deepfakes. We developed a web application that can identify films and determine whether they are authentic or fraudulent. The DFDC (Deepfake Detection Challenge) database, CNN model, GAN (generative adversarial network), RNN model, Python library, and AI models were used in the creation of this online application. Everyone may easily use and comprehend this online application. 97% of the results are accurate. Using the DFDC Database, we trained various AI models to identify deepfake videos.
Authors
- Mukesh Kumar
- Daxa Vekariya
- Hetvi Darji
- Jeel Makwana
Institutions
- Parul University (IN)
Publication Details
- Journal
- IET conference proceedings.
- Published
- 2025-06-27
- DOI
- https://doi.org/10.1049/icp.2025.1285
- Primary Topic
- Generative Adversarial Networks and Image Synthesis
- Type
- article
- Field-Weighted Citation Impact
- 0.00