openbraininstitute/core-web-app
Dec 2024 – Dec 2024
1 Month active
Languages Used
JavaScriptTypeScript
Technical Skills
Dynamic ImportsFrontend DevelopmentNext.jsReactTypeScript
Bilal Meddah
PROFILE
Bilal Meddah
During December 2024, Bilal Meddah developed dynamic Model Exploration Routes for the openbraininstitute/core-web-app repository, enabling users to explore e-model, me-model, and synaptome data through interactive and virtual lab interfaces. He refactored frontend components and pages using React, Next.js, and TypeScript to support dynamic imports and model-specific views, consolidating routing logic for maintainability and consistent rendering. By addressing gaps in public explore routes, Bilal ensured reliable access to new model data and improved user research workflows. His work established a modular, scalable architecture that supports future model expansions, demonstrating depth in frontend engineering and thoughtful architectural planning.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
236
Activity Months1
Your Network
131 people
Work History
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for openbraininstitute/core-web-app: Delivered dynamic Model Exploration Routes with e-model, me-model, and synaptome. Refactored UI to support dynamic loading of model-specific views within interactive/virtual lab contexts. Consolidated routing logic for model types and fixed public explore routes to ensure reliable access to model data. This work enhances user research workflows and lays groundwork for future model expansions.
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for openbraininstitute/core-web-app: Delivered dynamic Model Exploration Routes with e-model, me-model, and synaptome. Refactored UI to support dynamic loading of model-specific views within interactive/virtual lab contexts. Consolidated routing logic for model types and fixed public explore routes to ensure reliable access to model data. This work enhances user research workflows and lays groundwork for future model expansions.
December 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScriptTypeScript
Technical Skills
Dynamic ImportsFrontend DevelopmentNext.jsReactTypeScript
Repositories Contributed To
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