Monash-FIT3170/2025W2-FindingNibbles
May 2025 – May 2025
1 Month active
Languages Used
C++DartJavaScriptObjective-CSwiftTypeScriptXML
Technical Skills
API DevelopmentAPI IntegrationBackend DevelopmentCocoaPodsCode RefactoringData Transfer Objects
bmat0014
PROFILE
Bmat0014
During May 2025, Ben Mathews enhanced the Monash-FIT3170/2025W2-FindingNibbles project by delivering both backend and frontend features for restaurant discovery. He implemented a Restaurant API with cuisine and rating-based filtering using TypeScript and NestJS, consolidating services and introducing Data Transfer Objects for improved maintainability. On the frontend, Ben integrated map-based restaurant markers in Flutter, ensuring markers load dynamically and display interactive information. He addressed critical data retrieval bugs, refined map bounds querying, and improved UI filtering with color-coded chips. His work strengthened project infrastructure, streamlined onboarding, and resulted in a cleaner, more testable codebase with robust data access reliability.
Overall Statistics
Feature vs Bugs
38%Features
Repository Contributions
21Total
Bugs
5
Commits
21
Features
3
Lines of code
2,295
Activity Months1
Your Network
137 peopleSame Organization
@student.monash.edu116
Work History
May 2025
21 Commits • 3 Features
May 1, 2025May 2025 monthly summary for Monash-FIT3170/2025W2-FindingNibbles: Delivered backend and frontend restaurant discovery enhancements, fixed critical data retrieval issues, and strengthened project infrastructure and code quality to support faster onboarding and sustainable maintenance. Key outcomes include: Backend: Implemented Restaurant API resource and cuisine filtering with CuisineDto, enabling filtering by cuisine and minimum rating. Frontend: Implemented restaurant markers on map, with skeleton, loading behavior, and interactive info on click; markers wired to backend data and displayed on map load. Map bounds: Fixed backend interaction and ensure findAll operates correctly within map bounds. Infra/UI: Podfiles added for project setup; UI filtering popup formatting improved and color-coded filtering chips; code cleanup and formatting fixes. Impact: Improved restaurant discovery accuracy, faster user interaction, and a cleaner, more maintainable codebase that reduces onboarding effort for new contributors.
21 Commits • 3 Features
May 1, 2025May 2025 monthly summary for Monash-FIT3170/2025W2-FindingNibbles: Delivered backend and frontend restaurant discovery enhancements, fixed critical data retrieval issues, and strengthened project infrastructure and code quality to support faster onboarding and sustainable maintenance. Key outcomes include: Backend: Implemented Restaurant API resource and cuisine filtering with CuisineDto, enabling filtering by cuisine and minimum rating. Frontend: Implemented restaurant markers on map, with skeleton, loading behavior, and interactive info on click; markers wired to backend data and displayed on map load. Map bounds: Fixed backend interaction and ensure findAll operates correctly within map bounds. Infra/UI: Podfiles added for project setup; UI filtering popup formatting improved and color-coded filtering chips; code cleanup and formatting fixes. Impact: Improved restaurant discovery accuracy, faster user interaction, and a cleaner, more maintainable codebase that reduces onboarding effort for new contributors.
May 2025
Activity
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Quality Metrics
Correctness84.8%
Maintainability83.4%
Architecture77.2%
Performance76.6%
AI Usage21.0%
Skills & Technologies
Programming Languages
C++DartJavaScriptObjective-CSwiftTypeScriptXML
Technical Skills
API DevelopmentAPI IntegrationBackend DevelopmentCocoaPodsCode RefactoringData Transfer ObjectsDatabase QueryingFlutterFrontend DevelopmentGeolocationHTTP RequestsMap IntegrationMobile DevelopmentNestJSPrisma
Repositories Contributed To
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