NbcampUnreal/2nd-Team2-Final-Project
May 2025 – May 2025
1 Month active
Languages Used
C++CSVUnrealScript
Technical Skills
AI DevelopmentAI PerceptionC++C++ ProgrammingComponent DesignData Management
choidahye
PROFILE
Choidahye
During May 2025, Dahey Choe developed core gameplay systems for the NbcampUnreal/2nd-Team2-Final-Project repository, focusing on data-driven monster attributes and AI perception. Using C++ and Unreal Engine, Dahey designed a modular attribute and skill system powered by data tables and a custom loading and caching subsystem, allowing designers to balance monsters without code changes. He also engineered a perception component that integrates sight and hearing logic with event-driven notifications and player detection tagging, improving AI responsiveness. The work included data integrity fixes and asset management improvements, resulting in a robust, maintainable foundation for scalable monster behavior and gameplay tuning.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
2
Lines of code
734
Activity Months1
Your Network
9 people
Work History
May 2025
8 Commits • 2 Features
May 1, 2025May 2025 monthly summary for NbcampUnreal/2nd-Team2-Final-Project. Delivered a data-driven Monster Attribute and Skill System with Attribute/Skill data tables and a loading/caching subsystem, enabling designers to tune monster balance without code changes. Enhanced monster AI with a robust Perception system (sight/hearing ranges and event-driven notifications) and added Player Detected tagging to improve reaction accuracy and gameplay responsiveness. Implemented data integrity fixes to ensure correct asset references and DataTable handling, including updates to stun mechanics.
8 Commits • 2 Features
May 1, 2025May 2025 monthly summary for NbcampUnreal/2nd-Team2-Final-Project. Delivered a data-driven Monster Attribute and Skill System with Attribute/Skill data tables and a loading/caching subsystem, enabling designers to tune monster balance without code changes. Enhanced monster AI with a robust Perception system (sight/hearing ranges and event-driven notifications) and added Player Detected tagging to improve reaction accuracy and gameplay responsiveness. Implemented data integrity fixes to ensure correct asset references and DataTable handling, including updates to stun mechanics.
May 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance72.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CSVUnrealScript
Technical Skills
AI DevelopmentAI PerceptionC++C++ ProgrammingComponent DesignData ManagementData SubsystemsGame DevelopmentUnreal Engine
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