Module 01
What is Deepfake?
Introduction to Deepfakes
Deepfakes are artificially generated or altered videos, images, or audio clips that use artificial intelligence to manipulate content in a way that appears realistic.
Deepfake technology is powered by deep learning techniques, particularly Generative Adversarial Networks (GANs), which train on large datasets.
Deepfake Creation Steps
| Data Collection | Thousands of images gathered for training. |
| Encoding | AI models map facial features and voice patterns. |
| Training | A GAN learns to refine synthetic outputs. |
| Rendering | Final face swap or voice clone is generated. |
Risk Assessment
| Misinformation | Politicians and public figures misrepresented. |
| Fraud | Identity theft for malicious purposes. |
| Cybersecurity | Deepfake phishing attacks are rising. |
Module 02
How Our AI Detects Deepfakes
Our software analyzes three key modalities:
Lips Manipulation Detection
- Phoneme-to-viseme matching to compare spoken words with lip movements.
- Detection of speech track mismatches artificially added to video.
Face Manipulation Detection
- Detects unnatural blending, skin texture inconsistencies, and unrealistic expressions.
- GAN-based analysis for unnatural frame transitions.
Audio Patterns
- Timbre fingerprinting to detect AI-cloned voices.
- Segment-by-segment spectral analysis for audio deepfakes.
Module 03
How to Check?
Step 1
Upload your video (MP4, AVI, MOV) through our secure portal.
Step 2
AI processing extracts frames and scans for irregularities.
Step 3
Get a detailed report with confidence scores for each manipulation type.