Role: 3D Artist, Environment Optimizer
Tools Used: Unity, 3D Optimization, Lighting Design
Focus: Real-Time Asset Preparation, VR Scene Building
Project Overview
This immersive VR training simulation replicates a full 737 cockpit environment, designed to train pilots on complex ground procedures using declarative and procedural memory. Through Practice and Training Modes, the system helps users develop muscle memory for routine tasks—building confidence and competency without needing access to physical simulators.
The project exemplifies how affordable, portable VR solutions can supplement traditional high-cost aviation simulators, and its methodology translates well to training needs in medical, industrial, and manufacturing sectors.
My Role & Contributions
As the primary artist and visual environment builder, I focused on translating high-fidelity cockpit assets into a performant, optimized experience suitable for VR. My responsibilities included:
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Real-Time Asset Optimization:
Converted and optimized complex, non-realtime 3D models to be efficient and performant in Unity, ensuring smooth VR experiences on mid-range systems. -
Scene Assembly & Environment Design:
Constructed the entire visual training environment in Unity, assembling cockpit components and integrating them with interactive systems. -
Lighting Setup:
Designed lighting schemes that balanced realism and performance, supporting training immersion without compromising frame rates. -
Interaction Prep:
Structured cockpit models for interaction by the development team—ensuring clickable components, animations, and layout matched training goals.
Outcome
The final product delivered a fully immersive VR simulation that pilots could use remotely, reducing reliance on physical hardware and allowing flexible, on-demand training. My work ensured the visual experience was polished, optimized, and ready for integration into a functional learning platform.
