Anatomy Lab is a VR educational experience designed to help students study anatomical structures in an interactive 3D space. Users can physically approach and inspect body systems, receive immediate visual feedback on selected structures, and scale smaller components for close analysis. Each object includes a dedicated menu panel displaying its name, key function, and supporting description so the learning flow stays clear during interaction.

This was developed as a group project with Hamza Rahman and Max Pavek. My responsibilities included sourcing medically accurate structures from the Z-Anatomy library, validating model quality and naming consistency for teaching use, and implementing snap logic for bones. The snap system detects proximity to the original skeleton target position and assists placement while the user is already handling other components, improving both usability and assembly accuracy in VR.

For university submission context: this project demonstrates research-led asset selection, collaborative production workflow, interaction design for educational objectives, and implementation of assistive spatial mechanics. The focus was not only technical interaction but also pedagogical clarity, ensuring users can learn structure relationships through direct manipulation, contextual labeling, and guided assembly behavior.