🚀 Student Spotlight: Advancing AI in Game Development

We’re excited to highlight the work of Amna Hassan, a student in our research mentorship program, who recently completed a research project titled:

“Automated Unity Game Template Generation from GDDs via NLP and Multi-Modal LLMs”

In this project, Amna designed a system that leverages Large Language Models (LLMs) and Natural Language Processing (NLP) to automatically generate Unity game templates directly from Game Design Documents (GDDs).

She fine-tuned a LLaMA-3 model specifically for Unity game development using real-world GDD-code examples and developed a custom Unity integration tool, enabling game developers to go from design to implementation with just a few clicks.

🔍 Highlights of the Project:

• A structured pipeline to parse GDDs into key game components
• Fine-tuned LLM that generates Unity C# scripts aligned with design specs
• A Unity plugin that handles script generation, dependency mapping, and documentation
• Comprehensive evaluation across multiple game genres and LLM baselines

Her fine-tuned model outperformed several leading LLMs in compilation success, modularity, and Unity best practices.

Amna’s work is a great example of how students in our program take on meaningful technical challenges, learn advanced tools, and contribute to real-world innovation.