josephaycock/golf_app
Apr 2025 – May 2025
2 Months active
Languages Used
C++DartJavaScriptSwift
Technical Skills
Asset ManagementFlutterFlutter DevelopmentFrontend DevelopmentGeolocationMap Integration
jacksonc124
PROFILE
Jacksonc124
During a two-month period, Joseph Cogan developed core features for the josephaycock/golf_app repository, focusing on user onboarding, geolocation, and golf-specific guidance. He implemented a GPS-enabled golf course map view with live user location, tap-to-set hole selection, and real-time distance calculations, leveraging Flutter and Dart for mobile UI and geolocation integration. Cogan also built a user registration system with input validation and a card-based player profile screen, establishing a scalable foundation for future data-driven features. In May, he unified distance-based golf club recommendations into a single UI card, applying conditional logic for gender-specific scenarios and improving user decision flow.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
10Total
Bugs
0
Commits
10
Features
5
Lines of code
1,116
Activity Months2
Your Network
38 people
Work History
May 2025
4 Commits • 1 Features
May 1, 2025May 2025: Delivered a unified Golf Club Recommendation System with distance-based guidance for josephaycock/golf_app, integrating distance display, distance-to-yards conversion, and distance-based club suggestions (including gender-specific variations and short-distance putter considerations) into a single integrated UI card. Implemented core UI updates and rule logic across multiple commits, and fixed gender- and putter-related issues to improve recommendation accuracy. This work reduces cognitive load for users and drives engagement by presenting precise, context-aware club options in one view.
4 Commits • 1 Features
May 1, 2025May 2025: Delivered a unified Golf Club Recommendation System with distance-based guidance for josephaycock/golf_app, integrating distance display, distance-to-yards conversion, and distance-based club suggestions (including gender-specific variations and short-distance putter considerations) into a single integrated UI card. Implemented core UI updates and rule logic across multiple commits, and fixed gender- and putter-related issues to improve recommendation accuracy. This work reduces cognitive load for users and drives engagement by presenting precise, context-aware club options in one view.
May 2025
April 2025
6 Commits • 4 Features
Apr 1, 2025April 2025 performance: Delivered a clear onboarding and GPS-enabled UX foundation, branding updates, and a data-ready profile surface for josephaycock/golf_app. Key outcomes include a robust User Registration System with input validation and StatefulWidget refactor; a GPS Golf Course Map View with live location, tap-to-set hole, and distance-to-hole calculations with yard/meters toggle; and a placeholder Player Profile Screen in a card-based layout. Branding updates (new fonts and alternate logo colors) enable richer UI styling. Notable bug fixes addressed registration screen stability and GPS location handling for improved reliability across devices. These efforts reduce onboarding friction, improve course navigation UX, and establish a scalable foundation for data-driven features.
April 2025
6 Commits • 4 Features
Apr 1, 2025April 2025 performance: Delivered a clear onboarding and GPS-enabled UX foundation, branding updates, and a data-ready profile surface for josephaycock/golf_app. Key outcomes include a robust User Registration System with input validation and StatefulWidget refactor; a GPS Golf Course Map View with live location, tap-to-set hole, and distance-to-hole calculations with yard/meters toggle; and a placeholder Player Profile Screen in a card-based layout. Branding updates (new fonts and alternate logo colors) enable richer UI styling. Notable bug fixes addressed registration screen stability and GPS location handling for improved reliability across devices. These efforts reduce onboarding friction, improve course navigation UX, and establish a scalable foundation for data-driven features.
Activity
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Quality Metrics
Correctness83.0%
Maintainability82.0%
Architecture76.0%
Performance78.0%
AI Usage22.0%
Skills & Technologies
Programming Languages
C++DartJavaScriptSwift
Technical Skills
Asset ManagementFlutterFlutter DevelopmentFrontend DevelopmentGeolocationMap IntegrationMobile DevelopmentUI Development
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