Students' Projects
DeepFake Detection: Demodulate Synthetic Videos Using Deep Learning Models
| Department | Computer Engineering |
| Year | 2024-25 |
| Budget | 19800 |
| Students | Priyanshu Hirpara, Vishwa Kachhadiya, Hardi Valangar |
| Mentor | Dr.U.G.Chauhan, Dr. N.R.Dave |
| Abstract | Nowadays, Deepfake used for nefarious activities and spread the propogenda. So,the project works on deepfake detection to prevent spread of misleading videos on social media and internet. In our project, instead of converting all videos into frames, we directly cropped each video to concentrate solely on the facial region and convert it into RGB matrices. Additionally, recognizing the challenge of controlling the upload of deep fake videos on social media and the internet, we aim to utilize SVD-based pixel watermarking as a method to raise awareness about falsified videos. |