June 2025

ProjetR

Just before our internship at CEGEP began, one of our teachers approached Nicholson and me with an idea: to develop an application that would allow students to showcase their projects. Since we didn't have the ambition to build a complete platform alongside the internship, my colleague and I chose to create an MVP instead. We then presented it to the teachers in the computer science department at Cégep Rosemont, who were open to the idea of taking the project further with the next cohorts.

Contribution

For Project R, I was responsible for developing several front-end pages, ensuring a smooth interface and user experience. I also designed the entities and systems needed for project management, allowing users to publish, share, and comment on content intuitively. At the same time, I handled the implementation of authentication with Firebase to secure access to the platform. This contribution allowed me to consolidate my skills in state management and third-party service integration in a collaborative application development context.

Project Gallery

Visual Overview

Approach

My approach focused on building a reactive interface capable of efficiently consuming the DevHub API resources. I relied on a modular component architecture to simplify maintenance and page evolution. For data management, I paid close attention to the synchronization between the client and the server, especially for real-time interactions like comments and profile updates, to guarantee smooth navigation without unnecessary reloads.

Features

Secure user authentication
Project posting system
REST API consumption

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AI Camera

The StealthCam project was born out of a desire to explore the possibilities offered by the Internet of Things (IoT) by creating a smart home security system for our connected object course at Cégep de Rosemont. The idea was to merge hardware (sensors and cameras) with modern software technologies such as facial recognition and artificial intelligence. This project allowed me to learn how to manage communication between sensors, a Python backend processing real-time data streams, and a fluid desktop user interface.

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