Transforming University Asset Management with Flutter
The Challenge
The Faculty of Computer Science at UPNVJ was struggling with a slow, manual inventory process that consumed valuable staff time and led to inaccurate records. Tracking thousands of assets was a logistical bottleneck, making it difficult for leadership to make informed decisions about resource allocation and maintenance.
My Role & The Solution
Leading the project from design to deployment, my role encompassed the entire product lifecycle. This included creating the complete UI/UX design and interactive prototype in Figma and leading the end-to-end front-end development. I brought the designs to life as a pixel perfect, responsive, and highly functional mobile app using Flutter and Dart.
Working closely with a back-end developer, my focus was on building a highly maintainable and scalable application. This was achieved by architecting the app using MVVM principles, organizing the codebase with a feature-first structure, and leveraging the BLoC pattern to manage state and business logic, all while ensuring seamless API integration.
The final solution included:
Comprehensive Asset Management: A complete system to track the entire lifecycle of assets, including loans, transfers, repairs, and returns.
Role-Based Access Control (RBAC): Custom views and permissions for leadership, coordinators, and staff to ensure data security and relevance.
At-a-Glance Statistics Dashboard: A visual dashboard presenting key stats on items, rooms, loans, and repairs for immediate insights.
Automated Reporting & Notifications: In-app generation of monthly reports and automated reminders for loan due dates, eliminating manual follow-ups.
The Results & The Impact
The application is now fully implemented and used daily by faculty leadership and administrative staff. The project dramatically increased efficiency by allowing staff to perform real-time inventory checks from their smartphones. With a centralized platform and accurate reporting, leadership can now make smarter, data-driven decisions about faculty assets. The final product was met with high client satisfaction, who expressed it was "exactly what they envisioned."
