I'm Minh Quan

The project reimagines the existing exam management system, addressing longstanding issues related to content quality, reliability, and usability. This new exam system builds on the core functionalities of the legacy platform while introducing greater control of content, consistency, and adaptability to meet current needs.

The exam platform delivers a secure, modern testing environment designed to enhance academic performance. It features AI-powered proctoring, live code execution, and instant feedback to create an engaging exam experience.

An intelligent Discord bot that serves as a teaching assistant for Coderschool's online learning community. It leverages OpenAI's models to provide contextual responses, real-time debugging assistance, and personalized learning support across multiple courses.

Key features include an advanced code analysis engine using GitHub API for automated feedback, image-based debugging capabilities, and a knowledge retrieval system powered by a vector database that curates educational content via real-time searches of YouTube content and local documents.

The assistant currently resolves 90% of forum threads monthly, significantly reducing teaching staff workload. It is also integrated into the homepage to handle administrative queries and assist new learners.

Keleidoscope is a personal writing platform I built for my partner, Kel, a digital home that mirrors her eclectic, vibrant worldview. Through close collaboration, we created something beyond a typical blog: a space where subtle interactivity and thoughtful design amplify her voice while preserving her quirky charm.

The project reflects our journey of finding common ground across different fields, learning from contrasting perspectives, and building something meaningful together outside our comfort zones.

A data analytics application that provides insights into League of Legends player performance of my team, leveraging the Riot API to collect and process match data.

The project's key features include player performance tracking, match data analysis, interactive dashboards and real-time updates.

An interactive visualisation exploring the transformation of music, genres, and artist collaborations across the 20th century. The project analyzes over 586,000 tracks, 4,672 genres, and 1.1 million artists to reveal how music evolved from vinyl to streaming.

Built with D3.js for interactive visualizations, the project features genre evolution charts, audio feature analysis, and artist collaboration networks. It integrates Spotify data to provide comprehensive insights into music's journey through the decades.