NYCU-Service-Learning/nanao-system
Nov 2024 – Dec 2024
2 Months active
Languages Used
CSSJavaScriptTypeScriptSQL
Technical Skills
Ant DesignFrontend DevelopmentReactTypeScriptAPI IntegrationAuthentication
eenVil
PROFILE
Eenvil
Over a two-month period, Happy Huang developed core mental health assessment features for the NYCU-Service-Learning/nanao-system repository. They built a frontend questionnaire and a mental health tracking module, establishing authenticated user flows and integrating radio-based forms using React and TypeScript. Their work included planning backend data posting, implementing state management, and introducing a statistics visualization component to support data-driven insights. Happy focused on maintainable code, resolving build and UX issues, and improving documentation to support future enhancements. By connecting data collection with visualization, they laid the groundwork for scalable analytics, leveraging Ant Design, SQL, and API integration throughout the project.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
2
Lines of code
4,735
Activity Months2
Your Network
12 people
Work History
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for NYCU-Service-Learning/nanao-system. Delivered the Mental Health Tracking and Insights feature, consisting of an assessment form for data collection and a statistics visualization module. Achieved end-to-end delivery within the repository, with grouped commits to improve traceability. This work enables data-driven insights for student well-being programs and sets the foundation for scalable analytics. No major bugs fixed this month; focus was on feature delivery and code quality.
2 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for NYCU-Service-Learning/nanao-system. Delivered the Mental Health Tracking and Insights feature, consisting of an assessment form for data collection and a statistics visualization module. Achieved end-to-end delivery within the repository, with grouped commits to improve traceability. This work enables data-driven insights for student well-being programs and sets the foundation for scalable analytics. No major bugs fixed this month; focus was on feature delivery and code quality.
December 2024
November 2024
5 Commits • 1 Features
Nov 1, 2024November 2024 (2024-11) delivered the foundational Mentalform frontend questionnaire feature for NYCU-Service-Learning/nanao-system, establishing the initial user-facing data collection flow and routing within authenticated user sessions. The work includes a functional questionnaire structure using radio-based responses, basic styling, and integration into the app navigation to enable a seamless user experience. Ongoing backend integration planning noted in the commit messages (data posting method to backend to be added).
November 2024
5 Commits • 1 Features
Nov 1, 2024November 2024 (2024-11) delivered the foundational Mentalform frontend questionnaire feature for NYCU-Service-Learning/nanao-system, establishing the initial user-facing data collection flow and routing within authenticated user sessions. The work includes a functional questionnaire structure using radio-based responses, basic styling, and integration into the app navigation to enable a seamless user experience. Ongoing backend integration planning noted in the commit messages (data posting method to backend to be added).
Activity
Loading activity data...
Quality Metrics
Correctness87.2%
Maintainability85.8%
Architecture80.0%
Performance77.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSSJavaScriptSQLTypeScript
Technical Skills
API IntegrationAnt DesignAuthenticationBackend DevelopmentData VisualizationDatabase ManagementFrontend DevelopmentReactSQLState ManagementTypeScript
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline