Software projects

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Rent Bills

Ruby on Rails, Heroku, AWS

Developed a web application to help homeowners to monitor tenant debit and credit balance, currently used by a handful of clients

Key Features:

  • Two-column records for debit and credit balance for every tenant
  • Dashboards to monitor current tenant balance in different locations
  • Access for delegated keepers to help owner input payments
  • Set varying monthly due dates for different tenants
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Static Program Analyser

C++

Developed a static program analyser, which parses a made-up programming language and analyses which lines are modified/affected/used by another line in the program.

My Role:

  • To implement a program knowledge base which stores and indexes all information about a single program, and can be easily queried for information such as whether a certain abstract syntax tree is present, or whether certain lnes are affected by certain variable assignments.
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Audio Steganography

MATLAB

Helped developed application which conceals text messages in music clips for reliable data transmission through air via inaudible high-frequency sound waves

Methodology

  • Translate ASCII of text message into binary
  • Encode bits into certain bands in inaudible high-frequency range
  • Play music clip and read Fourier spectrogram from a recording device
  • Determine highligted frequency bands and use inverse FFT to decode
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Topdeck

Java, Gradle, JavaFX

A Java-based flash card management system that allows students to study for their exams and helps people memorise things

Key Features: Deck management which allows categorisation of cards and functionality to export deck for sharing

My Role:

  • Designed, developed, and tested Study Sessions feature which algorithmically generates and flashes questions, allows users to type in and compare their answers, and internally stores the difficulty rating for each question.
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PYPagao

Ruby on Rails

A crowdsourced database to help students find answers to past-year papers in their univeristy

Project was awarded Honourable Mention

Key Features: Users can rate, comment, and vote for answers to past year papers

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NUS Navigator Bot

Python, Node.js

Telegram chat bot we developed during NUS Hack ‘n’ Roll to help students find their way around the university.

My Role:

  • Collected and transformed data from NUS API to find locations of buildings in NUS
  • Developed code to calculate nearest bus stop from building
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Neuroscience Research

MATLAB, C

Conducted neuroscience research to analyse trends in subject’s brain electroencephalogram (EEG) activity during affective picture viewing

Methodology

  • C application connected to EEG to survey participant emotion while collecting brain data
  • Fast Fourier to compute trends in frequency and power features
  • ANOVA to train models to classify images based on EEG signal features

Conclusion

  • Conclusion participants with higher alpha-beta frequency power ratio tend to elicit a higher arousal emotion