About me
I am a student at NUS High School, majoring in Computer Science, Physics, Mathematics and Chemistry, with Honours in Computer Science and Computer Engineering at the National University of Singapore (NUS). I am the current running President of the NUS High Computer Science Club, AppVenture. I also work as an Overall-in-Charge at BuildingBloCS 2023. I am a former member of the Physics Olympiad Team of NUS High, and the Singapore Physics Olympiad Training Team.
data class Person(
val name: String,
val age: String,
val school: String,
val countryOfResidence: String,
val favouriteLanguages: List<String>,
val randomFact: String
)
val Prannaya = Person(
"Prannaya Gupta",
"17",
"NUS High School",
"Singapore",
listOf("Python", "Kotlin", "TypeScript"),
"I enjoy reading comics."
)
Android App Development
I have created many Android Applications over the past few years, including an app similar to the Green Pass and an app for Parkinson's Patients to monitor their gait patterns.
Desktop App Development
I have learnt how to develop Desktop Apps using softwares such as JavaFX and Tkinter. Some projects include a DC Circuit Simulator, a Physics Autotracker Application and a fully-functional IDE for my own langugage, Viper.
Data Analytics
I am well-versed with Numpy, Pandas and Matplotlib, and I have done many Data Analysis Projects, including a Covid-19 Prediction for Singapore using Time Series Analysis and a an Analysis of The Global Light Pollution Standards.
Database Management
I have learnt how to use Firebase to save Image and NoSQL data. I have also managed CSV, XML and Json data separately. I also use Google's Gson for Android App Development. I am also in the process of learning SQL in a development sense.
Machine Learning and AI
I have taken the Machine Learning course on Coursera by Stanford Online with Matlab Octave. I am well-versed in using Scikit-Learn for Machine Learning and PyTorch/TensorFlow Keras for Deep Learning. I have also done projects to analyse gait patterns for Parkinson's Disease Patients and to segment apartment interiors and exteriors using Transfer Learning.
Research
I have been awarded a Gold Award at the Singapore Science and Engineering Fair (SSEF), 2nd Prize for HCI's International Science Youth Forum (ISYF), Best Presenters Award for the IRC-SET Conference 2021 and the Third Prize for the Global Youth Science and Technology Bowl (GYSTB) for my project, Analysing Gait Patterns of Parkinsons' Disease patients to predict Freezing of Gait (FoG) using Machine Learning Algorithms.
Command-Line App Development
I have created Command-Line Interfaces for my language, Viper. I have also worked with libraries like Python's Click to display interesting graphics in the Command-Line.
Other Skills
I have taken part in the Quantum Computing Online Course by The Coding School and have used Qiskit before. I am also learning PennyLane's Quantum Machine Learning Library.
IDE Flexibility
I use Visual Studio Code, Sublime Text 3, IntelliJ and Atom among others regularly. I have also used Android Studio, Typora, Jupyter Notebook and the Arduino IDE.
Research
Machine Learning and AI
Gait Analyser
Jul 2020 - Present
with Ananya Nallapuraju and Ye Chen Rui
Web Development
Database Management
ArXiv.nush
Dec 2022 - Present
with Lim Li Xin Jed
Machine Learning and AI
Desktop App Development
Project FACE
Jun 2021
with Yap Yuan Xi and Renoir Tan