Aabumouti03/PixelPerfect
Feb 2025 – Mar 2025
2 Months active
Languages Used
CSSHTMLJavaScriptPythonDjangoMarkdownSQL
Technical Skills
Backend DevelopmentCSSChart.jsData VisualizationDjangoFront End Development
Salma Al Yousif
PROFILE
Salma Al Yousif
Contributed to the PixelPerfect repository by building analytics dashboards, module navigation, and content management features over two months. Developed a module overview page with progress tracking and a user statistics dashboard using Django, Chart.js, and HTML, enabling users to visualize learning progress and administrators to access dynamic reporting. Enhanced the platform with module-level ratings, program progress tracking, and video content support, while refining UI/UX through CSS and responsive design. Addressed twelve bugs and expanded test coverage with test-driven development, ensuring reliability. The work emphasized maintainable code, modular architecture, and seamless integration of backend and frontend components for a scalable learning platform.
Overall Statistics
Feature vs Bugs
48%Features
Repository Contributions
46Total
Bugs
12
Commits
46
Features
11
Lines of code
17,951
Activity Months2
Your Network
8 peopleWork History
March 2025
43 Commits • 9 Features
Mar 1, 2025Month: 2025-03 — Delivered core platform capabilities in PixelPerfect: module-level ratings, program progress tracking, and expanded content management, while stabilizing the UI and test framework. These efforts improved learner insights, content richness, and deployment reliability with a strong emphasis on business value and maintainable code. Key outcomes include a data-driven rating/reporting feature, visibility into program progression, and scalable module creation with media associations, contributing to higher engagement and faster feature delivery.
43 Commits • 9 Features
Mar 1, 2025Month: 2025-03 — Delivered core platform capabilities in PixelPerfect: module-level ratings, program progress tracking, and expanded content management, while stabilizing the UI and test framework. These efforts improved learner insights, content richness, and deployment reliability with a strong emphasis on business value and maintainable code. Key outcomes include a data-driven rating/reporting feature, visibility into program progression, and scalable module creation with media associations, contributing to higher engagement and faster feature delivery.
March 2025
February 2025
3 Commits • 2 Features
Feb 1, 2025February 2025 focused on delivering scalable analytics and module navigation enhancements for PixelPerfect. Delivered Module Overview Page with Progress Tracking to enable users to navigate modules with a clear progress view, leveraging a new Django view, two HTML templates, and a dedicated URL, complete with a sidebar, progress visualization, and module table. Implemented User Statistics Dashboard and Reporting with dynamic Chart.js visualizations for activation, gender, ethnicity, and sector distributions; updated templates and CSS; refactored logic into a dedicated reports_views.py; improved navigation and URLs. These features collectively improve user engagement, streamline admin reporting, and provide data-driven insights. Technical execution demonstrates Django-based UI, Chart.js integrations, and a modular, maintainable codebase.
February 2025
3 Commits • 2 Features
Feb 1, 2025February 2025 focused on delivering scalable analytics and module navigation enhancements for PixelPerfect. Delivered Module Overview Page with Progress Tracking to enable users to navigate modules with a clear progress view, leveraging a new Django view, two HTML templates, and a dedicated URL, complete with a sidebar, progress visualization, and module table. Implemented User Statistics Dashboard and Reporting with dynamic Chart.js visualizations for activation, gender, ethnicity, and sector distributions; updated templates and CSS; refactored logic into a dedicated reports_views.py; improved navigation and URLs. These features collectively improve user engagement, streamline admin reporting, and provide data-driven insights. Technical execution demonstrates Django-based UI, Chart.js integrations, and a modular, maintainable codebase.
Activity
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Quality Metrics
Correctness83.8%
Maintainability81.4%
Architecture77.8%
Performance77.2%
AI Usage22.6%
Skills & Technologies
Programming Languages
CSSDjangoHTMLJavaScriptMarkdownPythonSQL
Technical Skills
API DevelopmentAPI IntegrationAPI TestingBackend DevelopmentBootstrapCSSCSS StylingChart.jsCode CleanupCode RefactoringData VisualizationDatabase DesignDatabase ManagementDatabase MigrationDatabase Modeling
Repositories Contributed To
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