Java · Spring Boot · AI Integration · Microservices
Overview
A microservice architecture blueprint for intelligent governance and public administration systems. The project explores how AI-assisted decision pipelines can be integrated into institutional platforms without compromising auditability, accountability, or security.
Designed as a reference for public-sector modernization: role-based access control at institutional scale, complete audit trails, transparent decision logging, and modular service boundaries that let AI capabilities be added or replaced without system-wide changes.
Core Concepts
Content to be filled as the project evolves. Planned sections: AI decision pipeline design, audit log architecture, RBAC model, event sourcing for institutional records, and integration patterns for legacy government systems.
Status
Active. Core service boundaries and RBAC model defined. AI pipeline integration in design phase. GitHub updated continuously.