Synthetic Data Defense for Security & Surveillance AI
✔ Privacy-preserving AI pipeline for sensitive data
Built at RevolutionUC Hackathon
Generates realistic synthetic data to safely train AI systems without exposing sensitive real-world information.
Protects privacy, reduces risk, and enables secure development of AI systems in surveillance and healthcare.
Run a sample scan to simulate synthetic data generation and sensitive data detection.