Hack4Impact-UMD/leveling-the-playing-field
Oct 2024 – Oct 2024
1 Month active
Languages Used
CSSJavaScriptTypeScript
Technical Skills
Frontend DevelopmentReactState ManagementUI/UX Design
Christopher Giang
PROFILE
Christopher Giang
During October 2024, contributed to the Hack4Impact-UMD/leveling-the-playing-field repository by delivering a major UI enhancement for the equipment and location search page. Developed an interactive dropdown search and introduced a multi-select toggle, replacing the previous single-item selection dialog to streamline asset discovery and allocation. The search UI was refactored to utilize a centralized Select component, enabling flexible, multi-criteria filtering and simplifying the selection process for users. This work was implemented using React, JavaScript, and CSS, with a focus on frontend development, state management, and UI/UX design to improve user efficiency and reduce the steps required to filter results.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
257
Activity Months1
Your Network
24 peopleShared Repositories
24
Work History
October 2024
1 Commits • 1 Features
Oct 1, 2024October 2024 summary for Hack4Impact-UMD/leveling-the-playing-field: Delivered a major UI enhancement to the equipment/location search page by introducing an Interactive Dropdown Search and a multi-select toggle. The UI was refactored to use a centralized Select component for search mode, enabling flexible, multi-criteria filtering and easier selection of items on the search page. This work improves user efficiency in asset discovery and allocation and reduces steps required to filter results.
1 Commits • 1 Features
Oct 1, 2024October 2024 summary for Hack4Impact-UMD/leveling-the-playing-field: Delivered a major UI enhancement to the equipment/location search page by introducing an Interactive Dropdown Search and a multi-select toggle. The UI was refactored to use a centralized Select component for search mode, enabling flexible, multi-criteria filtering and easier selection of items on the search page. This work improves user efficiency in asset discovery and allocation and reduces steps required to filter results.
October 2024
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSSJavaScriptTypeScript
Technical Skills
Frontend DevelopmentReactState ManagementUI/UX Design
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline