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Hi there 👋

My name is Nghi (Hailey) Ho!

  • 🐝 💻 I am a back-end developer currently pursuing a B.S. in Computer Science at Georgia Tech
  • 🤖 I have a strong interest in high-performance computing and am conducting research in Brain-Machine Interface at Emory University to help people with paralysis
  • 💪 In my free time, I enjoy working out, learning about investment and real estate, and exploring different cuisines!

Connect with me:

LinkedIn Devpost Discord


🏗️ Recent Projects

Coding

  • 🐝 GT Scheduler - a course scheduling tool for Georgia Tech students with 44K users per semester
  • 🐕 Healing4Heros - a mobile training management app for Healing4Heroes to assist veterans and civillian partners with training rescue dogs to become ADA compliant service dogs.
  • 🌱 TreeFinance - a web application that encourages users to donate to global tree-planting projects with change from their daily transactions (Best Social Good at Girls Hoo Hack 2022🥇 and Best Use of Mastercard API at Hack WashU 2022🥇)
  • 🏫 Ziro - a revolutionary tool that helps teachers and students improve the online learning experience by ensuring Zero Plagiarism backed by Decentralized Blockchain Technology (Best ML/AI at HackTech 2022🥇)
  • 👓 ChromaVision - a Chrome Extension that recolors websites to make them more accessible to colorblind people (Winner of General Track at HackIllinois 2022🥇)
  • 🏃 Route About - a web-based map that helps you randomize walking/jogging routes based on distance
  • 🚰 AccessH2O - a customer management platform for AccessH2O to assist families in need with paying water bills.

📖 Languages

🌎 Stats

Nghi Ho's Projects

deep-learning-v2-pytorch icon deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

ftc_app icon ftc_app

FTC Android Studio project to create FTC Robot Controller app.

swot icon swot

Identify email addresses or domains names that belong to colleges or universities. Help automate the process of approving or rejecting academic discounts.

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