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
Project Title
Deepfake Video Discrimination Using Deep Learning
Project Area of Specialization
Project Summary
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, glitches and inconsistencies in a video for detection.
Project Objectives
To develop a robust deep learning based prototype model that can detect any provided video to be deepfake or otherwise.
Project Implementation Method
Combination 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
Technical Details of Final Deliverable
A sofware system that takes video as an input and determines whether the video is deepfaked or not
Final Deliverable of the Project
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| GPUs | Equipment | 1 | 70000 | 70000 |
| Total in (Rs) | 70000 |
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