<Graduate Projects />

Explore what our graduates have achieved

Recent Final Projects

Final projects demonstrate how far you can come in a matter of months. Our graduates prove what they can do by constructing functional and dynamic applications. Here are some examples of recent projects.

<gARden />

Tom, Isabel, Harpal, David

gArden is an Augmented Reality garden design application, allowing users to visualise different plants and flowers in their own garden in real-time. This group explored a range of new technologies, including Viro React, React Native and Firebase.

<Ursa />

Ros, Bevan, Brydie, Xavier, Sean

Team Ursa are the first Northcoders project team to use blockchain technology. They created a decentralised voting application built on the Ethereum blockchain. Their project, Ursa, is built with a range of front- and back-end technologies including Solidity, Truffle, Web3.js.

<PicLink />

Nick, Sumbal, Mike, Rishi and Radu

Professional photographers take thousands of photos. Finding yourself in the photos can take ages. PicLink is an end-to-end solution for photographers and their users. Simply upload an image of yourself, and PicLink uses facial recognition technology to instantly return all of the images that person is pictured in! Built on Electron and React Native with Kairos, Stripe and Firebase.

<Flashcube />

Sean, Dan, Romy and Nathan

This team created a Virtual Reality and Augmented Reality digital flashcard experience for immersive learning. They're the first ever team to learn C# and Unity for their project! Alongside those technologies, they built on vRoom's success 2 weeks later using A-Frame, with Vuforia and loads more besides - in 2 weeks.

<vRoom />

Liz, Kris, Kristiyan, Tim, Leo

Simply say what you want to see, and prepare to be immersed! Team vRoom were the first ever project team to try their hand at Virtual Reality. Their project is a voice-controlled VR mood board. After trialling many different VR tooling options, they settled on A-Frame, supported with AWS, Lex and React.

<Read A Room />

Luke, Samantha, Joe and Chris

When you're public speaking, it can be hard to know how your audience is feeling. So this team used a camera attached to a Raspberry Pi to gather visual data about students' faces. They then analyse the images to give the speaker an idea of whether people are enjoying and understanding their talk. They built this with Java, AWS, Firebase and React/Redux.

Lightning Talks

We encourage Northcoders to share knowledge on subjects that interest them!

<Deep Fakes />

Sean explores the problems of Deep Fakes


<Esoteric Languages: Piet />

From the mainstream to the almost entirely useless: Anat shows us the Piet programming language


Some Graduate Stories

<Northcoders is not our brand. Northcoders are our brand. />