A TypeScript React application for NUS undergraduates to calculate their current CAP (Cumulative Average Point), helping them to visualize what grades are needed to hit their goal, or what their current grade is.
Styles are heavily referenced by the NUSMODS website, as I am pretty much terrible at designing applications like this. The data used in the application is also obtained from NUSMODS and aggregated by me.

A C++11 desktop static program analyser application. Worked extensively on the tokenizer and the parser for parsing the given input source code. Made sure code followed design principles such as Open-Closed Principle. Wrote unit, integration and system tests using equivalence partitioning.
I had a lot of fun writing this program and it may have sparked my interest in compiler theory!

I was spending too much money on bubble tea and wondered how much I could save if I stopped. Thus began this project, where you can "deposit" money into a virtual money jar instead of spending on (unhealthy) drinks and strive towards a goal (in my case, a PS4).
I used React for frontend and Firebase as the "backend". I also took the opportunity to write the application in TypeScript, learning as I went. Click here to visit the application and let me know if anything can be improved on!

The application provides templates for generic common tasks to facilitate task requesters to create new tasks. The web application supports account creation and authentication. There are also queries to do various tasks such as bidding, creating new tasks, or viewing of offers. A detailed report on this project can be found here.

iungo aims to be an addressbook software for command-line aficionados. If you hate using the mouse for every small action, this application is for you! Documentation of what I did can be found here.

An old look for this website. Utilizes Bootstrap and jQuery to create a responsive website with design principles in mind. The old version can still be found at this link (but unmaintained), check it out and tell me which one you prefer!

A prototype app hacked together in 24 hours to use Augmented Reality to help reserve seats at a meeting room or table, and also view which places are already taken from far away. We use a GPS location to save the pin that you drop and certain places can only be reserved for a certain amount of time to be fair to others.

Wrote the Particle Swarm Optimization algorithm to find best weights for a linear function of features in order to maximize the number of rows cleared by the AI. Program averages around 1 million rows cleared after 24 iterations of the training algorithm. A summary report of the implementation of the logic can be found here.