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dharshiniyay/README.md

Hi, I'm Dharshini 😊

Final-year Computer Science student and CN Yang Scholar at NTU Singapore. I make complex technology make sense to the people who use it, from AI tools for parents and students at Singapore's Ministry of Education to research on whether AI explanations can be trusted. 👩‍💻

Featured work

Project What it is Links
AI Quests · MOE, Educational Technology Division 📚 Interactive simulation I built during my internship that shows Secondary 3 students how an agentic AI plans, uses tools and asks for permission. Try it live · Code
GLINT · Singapore Defence Tech Hackathon 📡 Satellite-radar vessel tracking. I built the operator console (evidence cards, human-in-the-loop review) and a traceable AI assistant that answers questions from bounded internal records. Live demo
Infant-inspired curriculum learning · NTU research 👶 Tested whether training curricula based on infant visual development improve self-supervised learning (MAE-ViT). Code
Atmospheric scattering · KTH, Computer Graphics & Interaction 🌎 Interactive planet renderer in Python that simulates how sunlight scatters through an atmosphere to colour the sky. Blog · Code
TrueFind SG · DSTA BrainHack 2025 Finalist 🛍️ AI-powered shopping aggregator that flags counterfeit products. Code
Sports Buddies 🎾 Mobile app (React Native/Expo) that matches people to sports activities and partners. Code
Full-stack learning projects 🖥️ 8 projects from my MERN certification. Code

Currently

Final-year project at Monash University: a deepfake detector for partial video edits whose explanations are verifiably faithful by design. Code is private until the project is complete.

Tools

Python · PyTorch · OpenCV · JavaScript · TypeScript · React · React Native · Next.js · Node.js · Tailwind CSS · Firebase · Java · C/C++

Contact

LinkedIn · rajadharshini.careers@gmail.com

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  1. Infant-Inspired-Curriculum-Learning Infant-Inspired-Curriculum-Learning Public

    NTU research: does an infant-inspired visual curriculum help a self-supervised MAE-ViT learn better image representations?

    Jupyter Notebook

  2. Agentic-AI-simulation- Agentic-AI-simulation- Public

    AI Quests: an interactive simulation that teaches Secondary 3 students how agentic AI plans, uses tools and asks for permission. Built during my MOE EdTech internship (2026).

    JavaScript

  3. emc-fullstack-learning-projects emc-fullstack-learning-projects Public

    8 web projects from my MERN Full Stack Development certification (Error Makes Clever, 2025)

    CSS

  4. earlgreymt/dh2323-atmospheric-scattering earlgreymt/dh2323-atmospheric-scattering Public

    Python

  5. niclee1803/SportsBuddies niclee1803/SportsBuddies Public

    A mobile application built with React Native (Expo), TypeScript, Python FastAPI, Firebase, and Node.js, designed to help users find and connect with sports buddies based on shared interests and ava…

    TypeScript

  6. Shapriyan19/TrueFindSg Shapriyan19/TrueFindSg Public

    TypeScript