System Architecture & One Health Principles
HYDREON combines a full-stack TypeScript architecture with an explicit scientific validation engine to ensure citizen data becomes trustworthy environmental intelligence.
End-to-End System Pipeline
Next.js App Router
Mobile-first responsive React frontend with Tailwind CSS, Lucide icons, and Leaflet spatial mapping.
Express.js REST Engine
Node.js + TypeScript API server enforcing input validation, rate limiting, and business domain services.
Multimodal AI Adapter
Modular AIProvider interface supporting OpenAI, Gemini, and Mock JSON engine with strict structured schemas.
PostgreSQL + Prisma ORM
Normalized relational database storing observations, AI signals, expert reviews, audit logs, and spatial sites.
FAIR Data Guiding Principles
HYDREON structures every stream observation to support Findability, Accessibility, Interoperability, and Reusability across environmental informatics platforms.
- Findable: Stable UUIDs and standardized stream site codes (e.g. STR-RIV-01).
- Accessible: Open REST endpoints returning structured JSON data contracts.
- Interoperable: FHIR-compatible observation provenance metadata.
- Reusable: Transparent AI confidence % and complete human review audit logs.
Responsible AI & Human Verification
The AI model serves exclusively as a structured assistant to highlight visual signals and calculate risk confidence. Qualified human reviewers retain final authority over verified findings.