[AIR-3][AIS-3][BPC-3][RES-3]
AI & Machine Learning Overview¶
Overview¶
Add a brief overview of this document here.
Table of Contents¶
Introduction¶
Anya Core's AI/ML capabilities provide advanced features for blockchain analytics, security monitoring, and system intelligence. This document provides an overview of the AI/ML components and their integration points within the Anya Core ecosystem.
Core Components¶
1. ML System Architecture¶
The ML system follows a hexagonal architecture pattern with clearly defined inputs, outputs, and domain logic. Key components include:
- Agent Checker System: Monitors and verifies system health and readiness
- Data Processing Pipeline: Handles data ingestion, transformation, and feature extraction
- Model Serving: Provides real-time inference capabilities
- Training Framework: Supports model training and fine-tuning
2. Model Types¶
- Bitcoin Analytics: Transaction pattern recognition, anomaly detection
- Security Monitoring: Threat detection, intrusion prevention
- System Intelligence: Performance optimization, resource management
3. Integration Points¶
- Blockchain Layer: Direct integration with Bitcoin protocol
- API Layer: REST and gRPC interfaces for model serving
- Monitoring: Real-time metrics and alerting
Key Features¶
- Real-time Processing: Low-latency inference for time-sensitive operations
- Scalability: Horizontal and vertical scaling support
- Security: Built-in security measures for AI/ML components
- Compliance: Adherence to regulatory requirements
- Extensibility: Plugin architecture for custom models and algorithms
Getting Help¶
For more detailed information, refer to the following documents:
Support¶
For support, please open an issue in the GitHub repository.