Deepfake Video Discrimination Using Deep Learning
A Deep learning based Deepfake videos discrimination system that allows any video to be identified as Deepfake or otherwise. The system needs to be trained via treating it with a dataset of both real and proved Deepfake videos. The convolutional model is trained by looking for anomalies, warping, gl
2025-06-28 16:31:06 - Adil Khan
Deepfake Video Discrimination Using Deep Learning
Project Area of Specialization Artificial IntelligenceProject SummaryA Deep learning based Deepfake videos discrimination system that allows any video to be identified as Deepfake or otherwise. The system needs to be trained via treating it with a dataset of both real and proved Deepfake videos. The convolutional model is trained by looking for anomalies, warping, glitches and inconsistencies in a video for detection.
Project ObjectivesTo develop a robust deep learning based prototype model that can detect any provided video to be deepfake or otherwise.
Project Implementation MethodCombination of various Deep learning CNN algorithms
Benefits of the Project- Government organizations can check if there is any misuse of official person’s speech.
- All the influencers can use to make sure there is no misuse of content
A sofware system that takes video as an input and determines whether the video is deepfaked or not
Final Deliverable of the Project Software SystemCore Industry ITOther IndustriesCore Technology Artificial Intelligence(AI)Other Technologies OthersSustainable Development Goals Industry, Innovation and InfrastructureRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 70000 | |||
| GPUs | Equipment | 1 | 70000 | 70000 |