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Hi there, I'm Ghaith! 👋

I am a Computer Engineering graduate from the University of Washington, Seattle. I'm here to build things and share my journey! Passionate about full stack development, machine learning, and embedded systems.

🚀 About Me

  • 🔭 I'm currently working on Partylytical!
  • 📫 Reach me at [email protected]
  • ⚡ Fun fact: I am a long distance swimmer, currently training for the NY Open!

🛠️ Skills

  • Languages: HTML/CSS/JS, Python, Java, C/C++, R, Verilog
  • Frameworks: React, React Native, Node.js, ElectronJS, Flask
  • Cloud and Database Technologies: Firebase, AWS, MongoDB, SQL

🚀 Projects

Partylytical (work in progress)

  • Partylytical: The mobile game that turns any gathering into a riot of laughter and cunning deception. Fool your friends, make jokes, and revel in uproarious fun!

  • GitHub Repo: Private

  • Technologies: React Native, Expo, Firebase

  • We are currently working hard on releasing the game by the end of the year, with multiple game modes for you to try. Stay Tuned!

S.E.E

  • SEE (Sensory Enhancing Eyewear): AI-powered glasses designed for the visually impaired. These glasses combine advanced object recognition, facial recognition, and ultrasonic sensor technology to provide a revolutionary way to perceive surroundings. Check it out here.

  • GitHub Repos: SEE Backend | SEE Web App | SEE glasses software

  • Technologies: React, Node.js, WebRTC, Python, YOLOv5

  • Hardware: STM32 Discovery Microcontroller, Raspberry Pi 4B, Huskylens

🌐 Connect with Me

Let's connect on LinkedIn! Find me here.

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🎉 Thanks for stopping by!

Ghaith Boksmati's Projects

ai icon ai

A mega directory that tracks my journey in implementing the foundations of machine learning and artificial intelligence from scratch.

material-ui icon material-ui

MUI Core is a collection of React UI libraries for shipping new features faster. Start with Material UI, our fully-loaded component library, or bring your own design system to our production-ready components.

see-backend icon see-backend

This repository contains the Node.js server that serves as the backend for our SEE (Smart Eyewear Experience) project. The server implements a basic SFU one-to-many architecture, and running YOLOv5 for object recognition on the broadcaster's stream.

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