Open Source
zoo-ids
Generate predictable and unique identifiers composed of adjectives and animals in the browser.sequence-crdt
An implementation of a sequential conflict-free replicated data type in C using LSEQ.Applications
meetwhen.io
A beautiful and mobile-friendly group scheduling application.



Svelte
SvelteKit
TypeScript
TailwindCSS
Node.js
Firebase
GraphQL
meetwhen.io helps you schedule meetings and hangouts around the world. Quickly create and join meets with no sign up required, or sign in with an account to keep track of your previous and upcoming meets!
You can also add relevant links and details for easy access later and see when your friends are the most available.
HelloWorld
A mobile AR application that lets you explore the world from your home.

React
React Native
CODE_EXP 2021 · 1st Place
HelloWorld is a quick hackathon project that provides a taste of tourism when travel was restricted during the pandemic.
You can decorate your personal spaces with virtual landmarks and attractions to immerse yourself in the cultural icons of your favorite destinations. Once you've built your world, hop onto the Discover page to learn more about each landmark.
University
Kopi Time
CS302 IT Solution Lifecycle ManagementTypeScript
Python
React
Next.js
TailwindCSS
Node.js
Flask
GraphQL
REST
RabbitMQ
MySQL
NGINX
Docker
Kopi Time is a digital marketplace for coffee-related art and collectables.
We implemented a reliable and robust microservice architecture to handle market trading functionality, listing expirations, and user notifications.
Most notably, we developed a framework-agnostic implementation of the saga pattern we named the Saga Engine to orchestrate transactions and compensating actions across multiple microservices.
COMO Club
CS301 IT Solution ArchitectureTypeScript
Python
Svelte
SvelteKit
TailwindCSS
Flask
REST
RabbitMQ
MySQL
NGINX
Docker
CloudFormation
We designed a highly available and maintainable backend architecure for our SMU-X sponsor — COMO Group.
Most notably, our architecture fails gracefully when third-party external services are unavailable.
To do so, we continuously check the health of external services. When an external service fails a healthcheck, we queue all client requests and notify users of the temporary disruption. Once the external service is healthy, we automatically trigger a recovery phase and continue with regular execution.
Wok N Roll
CS206 Software Product ManagementTypeScript
Java
Svelte
TailwindCSS
Spring
REST
We conducted market research and discovered an unfulfilled niche for a comprehensive database and search engine for hawker food in Singapore.
Using this database, we developed a product, risk mitigation strategies, and a feature roadmap for future growth.
Ryver Bank
CS203 Collaborative Software DevelopmentJava
Python
Spring
Flask
scikit-learn
REST
MySQL
Docker
We designed a simple trading platform for our SMU-X sponsor — Credit Suisse.
Given multiple core functionalities in the requirements, we used microservices to reduce the complexity of each component and enable developers to work semi-independently.
We also developed a simple ML-powered stock recommendation engine.
For our efforts, we were awarded the Best Technical Team achievement.
Simulation of Voting Fairness in Singapore
CS426 Agent-based Modelling and SimulationWe modelled various gerrymandering and Group Representation Constituency allocation strategies using an agent-based simulation to explore the impacts of voter flexibility and distribution on the fairness of representation.
Network and Link Layer Emulation
CS441 Network SecurityWe emulated a simplified version of the MAC and IP protocol on top of network sockets for our physical layer.
With the emulated network, the project requires a study and implementation of IP spoofing, IP filtering, and packet sniffing. Our group went beyond the requirements to implement private and public network separation, a simple public routing protocol, the ARP protocol, and IP traceback.
Optimizing Hotel Bookings
CS421 Introduction to Machine LearningPython
scikit-learn
We analyzed data on hotel booking demand and explored a variety of machine learning techniques to predict the cancellation of a given hotel booking based on pre-existing features.