OAU-MATRIC
A web application that generates personalized matriculation congratulatory messages overlaid on user-uploaded images — built for OAU students celebrating a major academic milestone. No backend, no uploads to a server. Everything runs client-side using the Canvas API.
The Problem
Building an image manipulation tool that works entirely in the browser without any server infrastructure. The tool needed to feel instant — users upload a photo, see their personalized message overlaid immediately, and download the result. Handling different image sizes, aspect ratios, and text positioning across all of them cleanly required careful Canvas work.
The Solution
// what I learned
Client-side image processing via Canvas is genuinely powerful and radically underused. This project taught me that not every feature needs a backend - and that choosing the right tool for the job sometimes means using platform APIs that most developers overlook. The zero- infrastructure approach also meant the app handled traffic from the entire OAU matric cohort without any scaling concerns.
