[EN] Jupiter Project

[EN] Catchphrase

[EN] Stylised procedural generation of planets with customizable parameters and performance optimization.

[EN] About / Context

[EN] University of Bordeaux Master 1 Computer Science project (January–April 2020). Simulated a customer request for procedural planet generation. Involved implementing Blender integration, random and noise algorithms, user parametrization systems, and performance benchmarks.

[EN] Features / Work Completed / Responsibilities

• [EN] Blender case study and integration for planet generation workflows
• [EN] Implementation of random and noise algorithms (LibNoise)
• [EN] User parametrization interface for customizing planet generation
• [EN] Performance testing and optimization benchmarks
• [EN] Procedural terrain generation pipeline

[EN] Highlights

[EN] First experience working with unclear customer expectations taught valuable lessons about design decisions—choosing between biome systems and prioritizing tasks within a team. The procedural generation pipeline demonstrated the power of noise-based generation for creating natural-looking environments.

[EN] What I Learned / Personal Conclusion

[EN] Customer collaboration requires proactive clarification and iteration. Procedural systems offer elegant solutions but demand careful performance consideration. Working as a team on shared generation algorithms emphasized the importance of clean interfaces and well-documented APIs.

[EN] Credits

[EN] Master 1 Project - University of Bordeaux 2020:

• [EN] Team Members: Rémi Barbosa, Benjamin Darmet, Marc Cerutti, Sofian Antri, Tsiory Rakotoarisoa
• [EN] Client: David Renault