OtagoPolytechnic/Cloudy-with-a-Chance-of-LoRa
Apr 2025 – Jun 2025
3 Months active
Languages Used
CSSHTMLJavaScriptReactJSXMarkdown
Technical Skills
CSSFront End DevelopmentFrontend DevelopmentNext.jsReactUI Design
ChubbyLobsters
PROFILE
Chubbylobsters
Over three months, Jamie Yeomans developed and refined the frontend for OtagoPolytechnic/Cloudy-with-a-Chance-of-LoRa, focusing on a weather dashboard with real-time data integration and responsive UI. Jamie overhauled the landing page, implemented modular React components, and introduced live weather-driven clothing suggestions, using JavaScript and Next.js. The work included robust error handling for geolocation and data outages, accessible UI elements, and comprehensive code cleanup to improve maintainability. By integrating API data, enhancing data visualization, and ensuring mobile responsiveness, Jamie delivered a user experience that adapts to live conditions while laying a solid technical foundation for future feature expansion and rapid iteration.
Overall Statistics
Feature vs Bugs
65%Features
Repository Contributions
48Total
Bugs
7
Commits
48
Features
13
Lines of code
4,841
Activity Months3
Your Network
12 peopleSame Organization
@student.op.ac.nz4
Work History
June 2025
10 Commits • 3 Features
Jun 1, 2025June 2025: Delivered real-time weather data integration and robust UX improvements for clothing recommendations in the Otago Polytechnic project. Key features include live data-driven UI updates across MoreConditions and landing header, and clothing choice logic driven by live temperature and rain data. Implemented reliable fallbacks for data load failures, enhanced geolocation error handling for sunrise/sunset, improved accessibility for the cloud image drop zone, and comprehensive code cleanup/UI polish. These changes reduce user friction, increase data reliability, and improve maintainability and accessibility, enabling more accurate, context-aware clothing recommendations even under data outages.
10 Commits • 3 Features
Jun 1, 2025June 2025: Delivered real-time weather data integration and robust UX improvements for clothing recommendations in the Otago Polytechnic project. Key features include live data-driven UI updates across MoreConditions and landing header, and clothing choice logic driven by live temperature and rain data. Implemented reliable fallbacks for data load failures, enhanced geolocation error handling for sunrise/sunset, improved accessibility for the cloud image drop zone, and comprehensive code cleanup/UI polish. These changes reduce user friction, increase data reliability, and improve maintainability and accessibility, enabling more accurate, context-aware clothing recommendations even under data outages.
June 2025
May 2025
30 Commits • 9 Features
May 1, 2025May 2025 performance summary for OtagoPolytechnic/Cloudy-with-a-Chance-of-LoRa: Delivered a cohesive, mobile-responsive landing experience with robust navigation, data visualization, and weather-data features, while stabilizing the app by addressing regressions introduced during page additions. Key outcomes include a navigable core site with page scaffolding, weather details and CO2 data displays, a weather clothing suggestion component, and Recharts-based visuals backed by dummy data. Live location, geocoding, and sunrise/sunset data were integrated, enriching contextual information. AI/About page UX/UI enhancements were completed to improve usability and branding. Several bug fixes (broken functionality after adding pages, small-screen graph axis issues, UI aesthetics, search header color, and data import). Overall impact: improved user experience, faster time-to-value for the landing page, and a stronger technical foundation for data-rich features.
May 2025
30 Commits • 9 Features
May 1, 2025May 2025 performance summary for OtagoPolytechnic/Cloudy-with-a-Chance-of-LoRa: Delivered a cohesive, mobile-responsive landing experience with robust navigation, data visualization, and weather-data features, while stabilizing the app by addressing regressions introduced during page additions. Key outcomes include a navigable core site with page scaffolding, weather details and CO2 data displays, a weather clothing suggestion component, and Recharts-based visuals backed by dummy data. Live location, geocoding, and sunrise/sunset data were integrated, enriching contextual information. AI/About page UX/UI enhancements were completed to improve usability and branding. Several bug fixes (broken functionality after adding pages, small-screen graph axis issues, UI aesthetics, search header color, and data import). Overall impact: improved user experience, faster time-to-value for the landing page, and a stronger technical foundation for data-rich features.
April 2025
8 Commits • 1 Features
Apr 1, 2025April 2025 focused on delivering a production-ready frontend overhaul for the Weather Dashboard in the Otago Polytechnic project. Key features delivered include a complete Landing Page UI overhaul with a persistent navigation bar, search header, Today forecast, seven-day forecast, and detailed conditions (location, sunrise/sunset), all backed by dark-theme support and refreshed background visuals. The work included a refactor into modular, reusable components and containers for location and sun details, with dummy data scaffolding to enable ongoing development. No major bugs were reported this month; the emphasis was on polish, stability, and preparing for future production deployment through improved file organization and production-oriented changes. Impact: Enhanced user experience with quicker access to core weather information, improved maintainability, and a solid foundation for upcoming features. This work accelerates the ability to iterate on UI/UX improvements and deploy frontend changes more rapidly. Technologies/skills demonstrated: Frontend UI/UX design, React-style componentization, modular architecture, theming and dark mode, responsive layout techniques, and production-readiness practices (code organization, dummy data, and scaffolding).
8 Commits • 1 Features
Apr 1, 2025April 2025 focused on delivering a production-ready frontend overhaul for the Weather Dashboard in the Otago Polytechnic project. Key features delivered include a complete Landing Page UI overhaul with a persistent navigation bar, search header, Today forecast, seven-day forecast, and detailed conditions (location, sunrise/sunset), all backed by dark-theme support and refreshed background visuals. The work included a refactor into modular, reusable components and containers for location and sun details, with dummy data scaffolding to enable ongoing development. No major bugs were reported this month; the emphasis was on polish, stability, and preparing for future production deployment through improved file organization and production-oriented changes. Impact: Enhanced user experience with quicker access to core weather information, improved maintainability, and a solid foundation for upcoming features. This work accelerates the ability to iterate on UI/UX improvements and deploy frontend changes more rapidly. Technologies/skills demonstrated: Frontend UI/UX design, React-style componentization, modular architecture, theming and dark mode, responsive layout techniques, and production-readiness practices (code organization, dummy data, and scaffolding).
April 2025
Activity
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Quality Metrics
Correctness86.2%
Maintainability85.2%
Architecture79.4%
Performance78.8%
AI Usage23.2%
Skills & Technologies
Programming Languages
CSSHTMLJSXJavaScriptMarkdownReact
Technical Skills
API IntegrationCSSCode CleanupCode FormattingComponent DevelopmentComponent RefactoringData FetchingData MockingData VisualizationDocumentationDummy Data GenerationError HandlingFront End DevelopmentFrontend DevelopmentGeolocation API
Repositories Contributed To
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