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Filter.io applies live filters on top of a webcam video stream. Built using MediaPipe Face Mesh library for facial landmark tracking.

Home Page: https://njpietrow.github.io/Filter.io/

License: MIT License

HTML 16.32% JavaScript 50.79% SCSS 32.89%
face-detection face-recognition photobooth synthwave mediapipe-facemesh canvas javascript

filter.io's Introduction

Hey there!

I'm a software engineer looking for my next role 🧑 💼. I have experience creating complex features and improving efficiency in large web applications 🏗️. I last worked at WorkRamp, a series C startup, where I was developing a modern Learning Management System. Before that, I worked as a consultant specializing in tax automation. I'm also a proud USC alum ✌️ with a degree in Business Administration and Computer Science.

Stuff about me:

🦾 I'm a Software Engineer looking for my next role
🎓 Graduated from App Academy and USC
🌱 Currently learning how to use Docker
🌊 Love surfing and enjoying the outdoors
👯 Interested in contributing to open source projects

Some Projects:

The Verve - Fullstack clone of the Verve Coffee Roasters online store
cart-add-gif

Hoppers - MERN Stack event planning website built in collaboration with 3 other engineers
Hoppers-gif

Filter.io - Photobooth face filter application built using JavaScript
filterio-gif

Languages and Tools:

Visual Studio Code   HTML5   CSS3   Ruby   Rails   JavaScript   React   Redux   jquery   Node.js   MongoDb   express   python   java   SQL   postgreSQL   Git   Docker   Terminal

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