Featured Case Study

Smart Inventory Management System.

A full-stack dashboard that replaces manual college-lab asset tracking with live stock counts, item condition, low-stock alerts, charts, and a recent-activity feed.

Problem

Lab assets were tracked by hand.

Stock levels, item condition, and low-stock items were hard to see at a glance, and there was no quick record of recent changes.

Approach

One dashboard for the whole picture.

Summary cards for totals and categories, a clear add/edit flow, condition tracking, low-stock flags, and a recent-activity feed — all in one view.

Build

A real full-stack app.

An Express REST API handles CRUD, MongoDB stores the inventory, and Chart.js renders category and condition breakdowns. A dark mode keeps it comfortable to use.

Result

Deployed and usable.

A live, hosted application demonstrating end-to-end ownership: data model, API, visualizations, responsive UI, and deployment.

What This Shows

Beyond static pages.

This project proves I can design a data model, build an API, persist data, visualize it, and ship a working full-stack product — not just a front end.

01

Model

Define inventory items, categories, condition states, and stock thresholds.

02

Build

Express API + MongoDB for CRUD, Chart.js for category and condition views.

03

Ship

Responsive UI, dark mode, and deployment to a live host.