
Callista Kendall developed core gameplay systems for the PurdueSIGGD/SIGGD-GAME-2025 repository, focusing on player and resource management as well as hunger dynamics. Using C# scripting within Unity, Callista introduced a StatData class to centralize movement parameters and player state, enabling more precise tuning and future extensibility. The new hunger system incorporated stat decay and health interactions, with supporting updates to assets and scripts to maintain gameplay balance. By consolidating these features under a unified codebase, Callista reduced future maintenance risk and established a foundation for data-driven balancing, demonstrating depth in system integration and thoughtful engineering for long-term project scalability.
October 2025: Delivered core systems for player and resource management and hunger dynamics in PurdueSIGGD/SIGGD-GAME-2025. Introduced a new StatData class to enable refined movement parameters and robust player state management, enabling smoother tuning and future enhancements. Implemented Hunger System affecting player stats with decay and health/damage interactions, and updated assets/scripts to support gameplay balance. These integrations reduce future maintenance risk by consolidating related gameplay systems under a single codebase and establish a foundation for data-driven balancing. No major bugs fixed this period; the focus was on feature delivery, system integration, and codebase consolidation across the repository.
October 2025: Delivered core systems for player and resource management and hunger dynamics in PurdueSIGGD/SIGGD-GAME-2025. Introduced a new StatData class to enable refined movement parameters and robust player state management, enabling smoother tuning and future enhancements. Implemented Hunger System affecting player stats with decay and health/damage interactions, and updated assets/scripts to support gameplay balance. These integrations reduce future maintenance risk by consolidating related gameplay systems under a single codebase and establish a foundation for data-driven balancing. No major bugs fixed this period; the focus was on feature delivery, system integration, and codebase consolidation across the repository.

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