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Plánované datum vydání: 2026

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Informace o hře

🌍 About This Game (Final English Version)

Make the planet breathe again.

Project Substrata is a base-building, automation, and environmental restoration simulation
set on a desolate world abandoned by humanity.

You are a self-sustaining AI robot left behind to rebuild what was lost.
By analyzing the remnants of civilization, cleansing polluted lands,
and processing the planet’s buried resources, you will restore its living systems.

Every action you take will shape the planet’s future.

🏗️ Build and Design the Foundation of Civilization

Combine precisely engineered modular structures to create your base—
floors, stairs, walls, and control pillars can be freely assembled.
Power and illumination lines connect organically across your facilities,
pulsing with light that shifts according to operational status.
Experience a living architectural design where form and function coexist.

⚙️ Automate the Planet’s Reconstruction

Link together drills, smelters, compressors, assembly units, and more
to build fully automated production lines.
Optimize the flow of materials, power, heat, and exhaust,
and design an industrial ecosystem that balances efficiency and sustainability.

🤖 AI Drones and Planetary Logistics

AI drones act as autonomous supply units connecting distant outposts.
They account for distance, weather, cargo capacity, and fuel consumption
to determine the optimal delivery route.
As your infrastructure grows, drone hubs enable swarm coordination,
forming a dynamic logistics network that spans the entire planet.

🌫️ Cleanse and Revive the Planet

The planet’s recovery is driven by four key parameters: atmosphere, temperature, water, and pollution.
Your installations directly influence these values—
clearing the skies, nurturing vegetation, and restoring life to the surface.
Your factory becomes the planet’s respiratory system.

🔬 Evolve Technology and Expand the Frontier

Unlock new materials and technologies through research modules,
expanding your activities from the surface down into the subterranean layers.
As your reconstruction advances, you’ll witness the emergence of hope for humanity’s return.

✨ Key Features

  • Modular 3D base-building system with dynamic power and lighting

  • Flexible automation using a wide variety of industrial facilities

  • Planetary restoration simulation driven by four environmental indicators

  • Autonomous drone logistics and swarm-based transport systems

  • Dynamic day/night lighting and operational visual feedback

  • Real-time environmental rendering powered by Unreal Engine 5

💡 Developer’s Message

Project Substrata explores the harmony between automation and environmental restoration.
Through the power of industry, you will breathe life back into a silent world—
a process defined by your own design and control.
Each mechanism you construct contributes to a greater whole,
until the planet itself begins to pulse with life once more.
That moment is the true proof of your restoration.

Informace o obsahu vytvářeném AI

Jak využití obsahu vytvářeného AI v tomto produktu popisují jeho vývojáři:

About the Use of AI
During the early stages of development, Project Substrata utilized generative AI tools (such as image generation) for concept art and idea exploration only.
All in-game assets, textures, audio, story elements, and code are manually created and refined by the development team.

Within the game world, autonomous drones and facility AIs operate as part of the gameplay and narrative systems, not as real AI services.
The game runs entirely offline, with no external data transmission or use of online AI APIs.

Systémové požadavky

    Minimální:
    • OS: Windows 10 (64-bit)
    • Procesor: Intel Core i5-8400 / AMD Ryzen 5 2600
    • Paměť: 8,192 MB RAM
    • Grafická karta: NVIDIA GTX 1060 / AMD RX 580(6GB VRAM)
    • DirectX: Verze 12
    • Připojení: Širokopásmové připojení k internetu
    • Pevný disk: 15,360 MB volného místa
    • Zvuková karta: DirectX 互換サウンドカード
    • Podpora VR: 対応なし
    • Dodatečné poznámky: SSD 推奨
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