Upgradation of AR-Based Interactive and Procedural Marine Ecosystem Simulation

Duration: 350 Hours | Project Size: Large | Difficulty: Advanced
Mentors
Krishna Mohan Patel, Himanshu Kumar
Required Skills
Expected Outcome

A more realistic, scalable, and performance-optimized AR marine ecosystem platform.

Description

Enhances an existing AR marine ecosystem with improved procedural generation, advanced ecosystem behaviors (predator-prey cycles, climate effects), and performance optimizations (LOD pipelines, shaders, streaming spawning). Adds Firebase-backed infrastructure for authentication, progress storage, and module sharing.

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