ARRC Inventory Management System

The Inventory Management and Accountability System (IMAS) is a full stack platform built to organize physical research assets across a six tier hierarchy. The system features a dashboard providing real time analytics on item distribution, checkout durations, and reservation statuses. To ensure long term maintainability, I developed a specialized CLI tool for administrators to manage database migrations, audit logging, and version deployments.

One of the core features is an automated Categorizer that uses machine learning and NLP algorithms to analyze item descriptions and automatically apply relevant tags, which significantly improves search accuracy. The frontend offers multiple perspectives including a hierarchical tree view and a table based database view supported by complex search logic. The system also includes a robust checkout infrastructure that tracks assets to their home base and the specific person responsible for them. While the software includes full support for barcode scanning, the physical implementation is ready for future adoption at the facility.