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, contributed to the NbcampUnreal/2nd-Team2-Final-Project repository by developing a data-driven Monster Attribute and Skill System, enabling designers to adjust monster balance through data tables without code changes. Leveraging C++ and Unreal Engine, implemented a modular component architecture with a dedicated data subsystem for efficient loading and caching of attribute and skill data. Enhanced monster AI by building a robust perception component supporting sight and hearing ranges, event-driven notifications, and player detection tagging. Addressed data integrity by correcting asset references and DataTable handling, resulting in more reliable AI behavior and streamlined balance iteration for game development workflows.
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 peopleWork 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
Repositories Contributed To
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