Nawal AI: Sovereign Federated Learning

Nawal (Mayan: "Wisdom") is a 100% sovereign AI platform combining pure transformer architecture, hybrid teacher-student learning, federated training, and evolutionary genome optimization for BelizeChain's national infrastructure.

Key Features

• 100% Sovereign AI: Zero dependency on external models like GPT. Built on a pure NawalTransformer architecture.
• Hybrid Teacher-Student Learning: Nawal (student) targets 95% of production traffic, falling back to DeepSeek-Coder-33B (teacher) for complex queries.
• Privacy-Preserving Federated Learning: Uses Flower (flwr) framework and Differential Privacy (Opacus) to train models across national institutions without centralizing sensitive data.
• Proof of Useful Work (PoUW): Validators earn DALLA tokens for contributing federated learning updates.
• Mesh Networking & ZK-Payroll: Decentralized P2P communication and privacy-preserving payroll submissions with Belize tax calculations.

Use Cases

1. National Healthcare AI: Train models on patient data without sharing sensitive medical records.
2. Education Platform: Multilingual tutoring for English, Spanish, Kriol students.
3. Government Document Processing: BelizeID, land titles, and payroll automation.