About This Project

A decentralized verification platform combining AI-powered satellite imagery analysis, open-source intelligence (OSINT) aggregation, and blockchain-based evidence chains to monitor nuclear facilities without requiring on-site inspections. The system uses computer vision models trained on known nuclear facility signatures (cooling patterns, heat signatures, vehicle traffic, construction activity) to flag anomalies at declared and suspected undeclared sites. All findings are timestamped and hashed on a public blockchain ledger, creating an immutable audit trail that any party can verify independently. Citizen scientists and NGOs contribute ground-level observations through a secure reporting app. A federated learning approach allows multiple states to train detection models collaboratively without sharing classified data. The platform publishes transparency reports quarterly, creating public accountability pressure while protecting sources.

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