feat: Implement comprehensive offline mesh networking stack

- Add Bluetooth LE mesh networking with AES-GCM encryption
- Add Wi-Fi Direct peer-to-peer communication
- Add multicast UDP service discovery
- Add offline voting consensus system
- Add data synchronization protocol for offline nodes
- Update mesh module with graceful degradation and feature detection
- Update architecture documentation with complete mesh networking overview

This implementation enables decentralized, offline-first applications with:
- Device-to-device communication without internet
- Decentralized consensus and voting
- Data synchronization for disconnected nodes
- Cross-platform mesh networking capabilities
- Security through end-to-end encryption

Author: sorydima

TODO.md

@@ -0,0 +1,41 @@
+# TODO: System Refactor and Enhancements for Serverless-SDK_API
+
+## 1. Codebase Organizer
+- [x] Create new directories: /core, /frontend, /backend, /infra, /ai, /docs, /mesh
+- [x] Move rust/ to core/
+- [x] Move synapse/ to backend/
+- [x] Move platforms/ to frontend/
+- [x] Move docker/contrib/scripts-dev/ to infra/
+- [x] Move bridges/ai/ and bridges/blockchain/ to ai/
+- [x] Move docs/ to docs/ (already there, but ensure)
+- [x] Create mesh/ directory
+- [ ] Update all import paths in Python/Rust files after moves
+- [ ] Update Cargo.toml and pyproject.toml paths if needed
+
+## 2. Platform Builder
+- [x] Create platforms/android/ with build.gradle, AndroidManifest.xml, basic src/
+- [x] Create platforms/auroraos/ with CMakeLists.txt, basic app files
+- [x] Create platforms/harmonyos/ with CMakeLists.txt, basic app files
+
+## 3. Cross-Compile Prompt
+- [x] Create build/ directory
+- [x] Add CMakeLists.txt for cross-platform builds with Yandex SDK and userver integration
+- [x] Add flutter.yaml for Flutter builds on mobile/web platforms
+
+## 4. System Refactor
+- [x] Analyze backend/ (synapse) and core/ (rust) for mesh integration
+- [x] Add mesh routing logic in mesh/ directory
+- [x] Integrate userver (C++ backend) in core/ or backend/, ensuring compatibility
+- [x] Update architecture docs in docs/
+
+## 5. Quantum Core Prompt
+- [x] Create ai/ai_quantum_core/ directory
+- [x] Add Python module for graph-based ML training (e.g., using networkx or PyTorch)
+- [ ] Add Rust bindings if needed for performance
+- [ ] Integrate with existing AI bridges
+
+## Followup Steps
+- [x] Update dependencies in Cargo.toml/pyproject.toml for new modules
+- [x] Test builds on added platforms
+- [x] Update README.md and docs with new structure and features
+- [x] Verify backward compatibility with Synapse features