Monthly summary for 2025-08 for the NIAEFEUP/uni repository. Key work included a bug fix to improve closing status recognition for INESCTEC and INEGI, and a calendar data refresh to cover the 2025/2026 academic year. These updates enhance data accuracy for restaurant status and scheduling, enabling more reliable downstream decisions and planning for the upcoming academic year.

July 2025 highlights for NIAEFEUP/uni: Delivered Closed Restaurant Detection and Display feature, including closed-status detection, updated meal-type logic, and a new 'closed' dish type with localization and icon. Completed a refactor to improve readability and localization consistency. These changes provide a more accurate, localized user experience and establish a maintainable foundation for future status-driven UI updates. Commits focused on correctness of the closed icon and code formatting.

Monthly work summary for 2025-05 focusing on localization enhancements for the NIAEFEUP/uni repo. Delivered Services Title Internationalization by adding English and Portuguese translations, updated i18n files, and introduced a new translation key in l10n.dart to ensure proper title display across languages. This work improves global UX and reduces non-English display issues.

Overview for 2025-04: Key features and improvements delivered across NIAEFEUP/enei and NIAEFEUP/uni, with a focus on event clarity, data modeling, cross-platform persistence, and UI polish. Features/bugs delivered: - Event Schedule Layout Update (enei): split the April 11 check-in e Boas-Vindas into separate Boas-Vindas and Check-in events with adjusted times; updated grid layout to reflect the changes. - Event Extra Information Support (enei): added a nullable extraInfo column to store JSONB data for flexible event details; updated the Event model and database schema; frontend renders extraInfo as HTML in event details. - CalendarEvent and Restaurant Data Model Enhancements (uni): stabilized and extended data models for CalendarEvent and Restaurant; improved date/time parsing/serialization; made restaurant type fields nullable; aligned ObjectBox mappings; added platform plugin registrations for Linux and Windows to support cross-platform persistence features. - User-Facing UI Improvements on Home Screen (uni): improved user experience on the home screen with added vertical spacing for restaurant cards, refined text sizing, and clearer meal presentation by sorting meals after filtering. - Code Quality and Maintenance (uni): code cleanup and adherence to coding standards, removing unused imports and reordering constructors/factory methods to improve readability without changing behavior. Impact statements: - Improved attendee experience and clarity for event scheduling; richer, safely stored event metadata; and smoother, more readable home screen presentation. - Strengthened data model reliability and cross-platform support, reducing future integration friction and enabling easier maintenance. - Reduced technical debt and improved code quality through linting and structural cleanups. Technologies/skills demonstrated: - Flutter/Dart, ObjectBox persistence, Postgres JSONB, frontend HTML rendering, responsive UI/UX design, cross-platform plugin integration, and disciplined code quality practices.

Concise monthly summary for 2025-03 focusing on key accomplishments, major fixes, and business impact for NIAEFEUP/enei. Overall this month delivered a robust event management feature set, improved data modeling, and a more reliable attendee experience, while laying groundwork for upcoming live events (Day 12 and beyond).

February 2025 performance summary for NIAEFEUP repositories (uni and enei). Focused on delivering cross-platform branding updates, UX polish, backend events enhancements, and codebase hygiene to drive user experience, reliability, and maintainability.

January 2025 performance summary for NIAEFEUP repositories. Focused on delivering a cohesive UI, smoother payment flows, and code quality improvements to drive user satisfaction and operational maintainability. Key outcomes include faster access to course materials, more reliable transaction flows, and a cleaner codebase with up-to-date dependencies.

December 2024 Monthly Summary for NIAEFEUP projects (uni and enei). Key features delivered: - Period-aware Restaurant Data Model and Multi-Period Fetching (NIAEFEUP/uni): added a period field to Restaurant, introduced multi-period menu processing (lunch, dinner, snack, breakfast), updated naming/display to reflect period, and removed an outdated filtering step to simplify data flow. - Internationalization and Translation Enhancements (NIAEFEUP/uni): added translations for meal periods and restaurant names; enabled language-aware display and frontend translation handling for English and Portuguese. - Code Quality and Refactoring (NIAEFEUP/uni): code cleanup, lint fixes, dead code removal, simplified weekday parsing. - Cart, Checkout and Payment Enhancements (NIAEFEUP/enei): initial cart prototype, improved payment page UI, and integration points for submitting payments; backend payment endpoint and frontend-backend integration. - Frontend Improvements and Pre-commit Tooling (NIAEFEUP/enei): phone number modal UI enhancements, descriptive text fixes, pre-commit hook installation scripts, Husky and lint-staged integration, and typechecking improvements across all files. Major bugs fixed: - Billing address now starts disabled until user enables it (NIAEFEUP/enei). - Added descriptive text/label for the phone modal to improve accessibility and clarity (NIAEFEUP/enei). - Fixed period display issues on favourite restaurants to reflect multi-period data consistently (NIAEFEUP/uni). - Linting issues resolved and typechecking updated to run on all files to prevent regression (across both repos). Overall impact and accomplishments: - Delivered end-to-end value across two repositories: richer data model and multilingual UX in uni, and a concrete payment flow plus improved UI interactions in enei. The work reduces manual context switching for data handling, improves user experience for multi-period menus, and accelerates payments while maintaining code quality and reliability through automated tooling. Technologies/skills demonstrated: - TypeScript/JavaScript frontend and backend integration, multi-language support (i18n), and locale-aware display. - Data modeling enhancements for multi-period data, and naming conventions aligned with domain (period suffixes). - Code quality practices: linting, dead code elimination, refactoring, and weekday parsing improvements. - Pre-commit workflow improvements with Husky/lint-staged, typechecking enhancements, and automated hooks for higher maintainability.

In November 2024, completed foundational migration to UPMenusApi for restaurant data and menus, refactoring fetch logic, removing Google Sheets dependencies, and updating date parsing to support new menu features. Prepared UI for new menu capabilities by adding dependencies (up_menus) and scrollable_positioned_list. Implemented meal data improvements to support new menus: added DateTime-aware DayOfWeek parsing, aligned meal type mappings with API terminology, and temporarily bypassed past-meal filtering to publish new menus. Fixed data accuracy by correcting API terminology: fish is 'pescado' and salad is 'hortícola'. Cleaned up codebase by removing debug prints and applying targeted refactors. Business impact: reduced external data dependencies, improved data reliability, faster UI readiness for launches, and clearer, API-aligned data representations.

Month: 2024-10 — Performance review-ready monthly summary for NIAEFEUP/uni. Focused on delivering business value through two core features and associated reliability improvements: (1) LazyConsumer Mapper Enhancements and Type Safety to enable transformation of the application state and support dynamic typing for lecture data processing in ScheduleCard; (2) Schedule Card: Upcoming Lectures Filtering and Display to ensure only future lectures are shown by refining date logic and removing redundant checks. The work included targeted fixes, code hygiene improvements, and iterative refactoring to stabilize the mapper.