Deepfake Detection Prototype

Real-Time Media Integrity with AI

Deepfakes, synthetic media from advanced AI, threaten trust with disinformation and fraud. Sprinklenet’s prototype, part of our AI Services, detects manipulations in real-time to protect integrity.

Ideal for government, research, and enterprises, this tool safeguards reputations and fosters trust in digital content.

Our Approach

Built with TensorFlow, our module uses CNNs, transformers, and cross-attention to spot subtle deepfake signs with high accuracy and speed.

Focused on images and videos now, it’s designed to expand into audio detection, adapting to evolving threats.

Core Capabilities

Comprehensive protection against synthetic media:

• 🖼️ Image Analysis: Spots AI-generated patterns and artifacts.
• 🎥 Video Integrity: Detects frame-by-frame inconsistencies.
• 🔊 Audio Protection (Coming Soon): Targets audio deepfakes.

Technical Foundation

Flexible and scalable AI components:

• 🧩 TensorFlow: Efficient machine learning framework.
• 💻 Custom Architectures: CNNs, transformers, and cross-attention.
• 🌐 Web Interface: Uploads, detection, and confidence scores.