Overview

• This project aims to create a tool that transforms text descriptions into 3D blockout environments inside Unreal Engine.
• Given a script excerpt or location description, the system automatically generates a playable blockout layout in Unreal Engine, supporting real-time iteration.

Objectives & Responsibilities

• Implement script/text analysis for spatial understanding to extract scene layout, objects, and relations from natural language descriptions.
• Design and implement automatic placement of modular pieces and props in Unreal Engine to produce coherent, navigable blockout environments.

Core Features to Develop

• Script/text analysis for spatial understanding and mapping semantic elements to spatial constructs.
• Automatic placement of modular assets and props plus custom difficulty profiles and analytics dashboard integration.

Technology & Tools

• Use Unreal Engine 5 as the runtime and editor integration point for real-time iteration inside the engine.
• Integrate NLP models (Python) and a PCG (Procedural Content Generation) framework to translate text into layout plans and asset placements.

Expected Deliverables

• A pipeline that accepts text/script excerpts and outputs playable blockout levels in Unreal Engine 5.
• An integration demo showcasing real-time iteration, automatic placement, and a basic analytics dashboard with difficulty profiles.

Candidate Profile & Skills

• Experience with Unreal Engine 5 (Blueprints or C++), Python, and familiarity with NLP model usage or integration.
• Knowledge of procedural content generation techniques, scene graph/level composition, and basic UX for in-editor tools.

How to Apply

• Send your application specifically for this project to recruitment@lanterns-studios.com .
• Include a short motivation, relevant experience with UE5/NLP/PCG, and links to any prior projects or demos.