
Anumanti focused on backend development for the AnandPap321/informacioni-sistem-za-aviokompanije repository, delivering an airplane data model that supports both backend integrity and frontend consistency. Using JavaScript, Node.js, and Mongoose, Anumanti designed a MongoDB schema for aircraft, including fields for name, seat configuration, and addition date, with validation to ensure accurate seat data. The work included creating a UI-oriented aircraft model, aligning backend and frontend data representations to enable reliable aircraft display and reporting. While no bugs were fixed during this period, the contribution established a scalable foundation for data validation and improved the system’s overall data integrity.

April 2025 monthly summary for AnandPap321/informacioni-sistem-za-aviokompanije: No major bugs fixed this month; focus remained on delivering backend data models and UI data representation to improve data integrity and frontend consistency. Key feature delivered: airplane data model and UI data representation. The work enables reliable aircraft data display, better reporting, and scalable validation across backend and frontend. Technologies demonstrated include MongoDB/Mongoose modeling, schema validation, and UI/backend data alignment.
April 2025 monthly summary for AnandPap321/informacioni-sistem-za-aviokompanije: No major bugs fixed this month; focus remained on delivering backend data models and UI data representation to improve data integrity and frontend consistency. Key feature delivered: airplane data model and UI data representation. The work enables reliable aircraft data display, better reporting, and scalable validation across backend and frontend. Technologies demonstrated include MongoDB/Mongoose modeling, schema validation, and UI/backend data alignment.
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