Permafrost Automation Archi: Full-Stack Architecture Model, 7-Step LLM Pipeline & Technical Stack Demonstration
Demonstration of the full-stack system architecture, 7-step AI-mediated documentation pipeline (<6h publication latency), and multi-model benchmark (Gemini, GPT-4o, Claude, Cursor) capturing and publishing the Permafrost School field activities to a global audience.
This technical milestone presents the complete system architecture model developed by Dodiya Enterprises LLC in collaboration with Saint Petersburg State University and Mirny Polytechnic Institute (NEFU). The model captures how informal field notes, WhatsApp group conversations (in Russian and Sakha), cryogenic sensor CSV logs, and regional NVK Yakutia broadcasts were processed through a Large Language Model (LLM) pipeline and published as formal bilingual academic web content in under 6 hours per cycle.
The interactive 4-page architecture document covers: 1. Full-Stack System Architecture Diagram (Source Inputs, AI Mediation, Next.js Web App, Vercel CI/CD, and 5-Nation Telemetry); 2. 7-Step LLM Documentation Pipeline with documented WhatsApp-to-academic transformation cases; 3. Tools & Alternatives Comparison Matrix across all 11 project layers (IDE, LLM, Frontend, CSS, CMS, i18n, CI/CD, Analytics); 4. Multi-Model Benchmark (Gemini 2.5 Pro vs GPT-4o vs Claude 3.7 vs Llama 3.3) and project summary.
Explore the interactive model directly at: https://dodiyaenterprises.com/permafrost-automation-archi