Stellaralia: Sovereign Celestial Engine & Multi-Language Repository. Automated Personification of Universal Phenomena.

This project, “Stellaralia,” is a high-performance autonomous media ecosystem that reinterprets cosmic phenomena through AI-driven anthropomorphism. The system operates on a continuous 24/7 cycle, executing the entire content lifecycle—from data acquisition via scraping to final global publishing—without any human intervention. By leveraging the local LLM “Gemma 4 26b,” it transforms astronomical data into aesthetic narratives and visual assets for a global audience.

1. Fully Automated 24/7 Production Pipeline

The core of this project is its Zero-Human-Intervention workflow. The system autonomously monitors global RSS feeds and astronomical databases (Scraping), interprets data via Gemma 4 (Writing), generates high-fidelity character art (Visual Synthesis), translates content into 15 languages (Localization), and deploys the final posts via the WordPress REST API (Publishing). This end-to-end automation ensures a constant stream of high-quality content around the clock.

2. Data-Driven Personification Logic

Using sophisticated prompt engineering, the system translates scientific attributes—such as stellar classification and orbital mechanics—into detailed character personas. The AI-driven pipeline ensures that each anthropomorphic entity remains fundamentally linked to its astronomical roots, creating a “Fact-to-Concept” workflow that produces high-quality, educationally-informed creative content.

3. Automated Visual Identity Synthesis

To establish a consistent brand identity, the system integrates “Stable Diffusion WebUI Forge” (Pony V6 XL) to automatically generate high-fidelity illustrations. By converting the AI-generated character lore into optimized image prompts, the platform ensures that every celestial entity is accompanied by a visually stunning representation that aligns perfectly with its narrative background.

4. Privacy-Oriented Edge Computing

Operating on a local Ubuntu edge server within a Dockerized environment, the project prioritizes data security and sustainable scaling. By executing LLM inference and image generation locally, the infrastructure eliminates recurring third-party API costs, allowing the 24-hour autonomous cycle to remain cost-effective and secure within a private network.

Estimated Pricing & Lead Time (24/7 Autonomous Suite)

End-to-End Automation Logic (Scraping to Upload)	$1,500.00
Personification & Visual Synthesis Pipeline	$1,100.00
Multi-Language Orchestration (15 Regions)	$750.00
Edge Infrastructure & Docker Environment	$500.00
Total Estimate (Tax Incl.)	$3,850.00
Estimated Turnaround	Approx. 240 hours

【Key Responsibilities】

24/7 Pipeline Orchestration: Developing a robust, unattended system for scraping and auto-publishing.
Autonomous IP Creation: Converting live astronomical data into narrative and character assets.
Generative Visual Branding: Automating the production of high-quality, context-aware character art.
Secure Edge Deployment: Building and maintaining a private Docker-based AI inference cluster.

【Tech Stack】

Gemma 4 26b (Local LLM) / Stable Diffusion WebUI Forge (Pony V6 XL) / Python 3.12 / WordPress REST API / Docker / Ollama / Feedparser / Ubuntu Linux / 15 Target Languages

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