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Potion Pals

Welcome to the spooky yet charming world of Potion Pals! Play with a friend as you take on the role of either a magical, potion-brewing Witch in VR or a bustling, potion-delivering Warlock on PC.

In a cozy yet cluttered potion shop, you must race the clock as you try to keep all your monster customers happy! Be careful though, if you take too long or give them the wrong potion, they will NOT be happy and the result could be DISASTROUS

Work with your teammate to create the proper potions and deliver them super speedily in order to get the best score.

Potion Pals was my fourth year project at Brock University. I functioned as the teams lead programmer, and production was going very smoothly. Unfortunately, due to Covid19 preventing us from heading in to school to continue working, and the majority of the team not having VR headsets at home to work on, we regretfully had to stop development of Potion Pals and settle with the above trailer.

On the team, I handled the majority of the programming related to VR, so creating our custom VR controller and programming the ingredient/crafting systems. I also had a hand in NPC AI, UI hookups, animations, and game logic.

Unity Tutorial

As part of our fourth year project, me and my team made a multipart Unity tutorial on building a platformer in all aspects, broken down into sections. The website for the project can be found here: https://academyforbrains.wixsite.com/brainacademy

A demonstration for the finished project is provided in the first eposide at 0:41

First off you’re going to need to download our asset pack, which can be grabbed by clicking the slightly ominous download button below

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Important to note, this package includes all art assets you will need to create the game, but only templates for the code and scenes. If you so wish, feel free to create your own assets and just follow our steps with them.

Next you’ll need some videos to follow along to, so either view the Playlist, or click one of the links below to watch an episode (Episodes build off each other, so it will probably be easiest if you view and follow along in order).

Boids System

While working as an intern at a VR startup, I was tasked with creating an AI to simulate fish swimming underwater. Given that it was for a VR experience, performance was extremely important
I began by following a tutorial on Flock AI from Shinao on Github (https://github.com/Shinao/Unity-GPU-Boids), utilizing a simpler version of his approach, which was more optimized for VR and allowed the fish to swim in smaller schools, with more detail and “wiggling” to give the appearance of swimming. In the end, this is what we ended up with. In this clip (the only i’m allowed to post at this time) you can see a handful of schools procedural swimming around and minding their own business. The full version of the code also allows them to follow predefined paths with slight variations to still look natural. All in all, very fun and educational project

Programmer portfolio

I have here my programmer portfolio I was required to make for one of my business classes at Niagara College. I will warn you that I am by no means a video editor, so it is a little rough. As well, we were required to show off at least one 3D modelled item we had made. Rather than use an item from my 3D modelling or art portfolio, I got cheeky and rendered a segment of code as 3D text.

Feed-forward neural networks for data classification

For one of my Artificial Intelligence projects, we had to study neural networks and how adjusting their initial properties effect their outcome.

To test this, we used two separate data sets, the age of Abalone’s (https://archive.ics.uci.edu/ml/datasets/abalone) and the the classification of Iris flowers (https://archive.ics.uci.edu/ml/datasets/iris)

Unfortunately, for this project we did not have time to use our own Neural Network. Instead we used WEKA, developed by the University of Waikato.

My findings and full paper can be found in the below linked pdf, and all of my datasheets can be downloaded at my github here: https://github.com/QuantumInfinite/Feed-forward-neural-networks-for-data-classification

Magehem

For my Niagara College Year 3 Capstone I worked with a team of 9 developers to create the VR tower defence game MAGEHEM.

All the details for the game can be found at https://digitaldetails.ca/ , but to summarize:

  • VR Tower Defence, where there is only one tower, and you’re sitting on top of it
  • Minions come from the distance to attack your tower
  • Your only defence? MAGIC
  • Craft spells using our modular glyph drawing system (48 unique spells)
    • Chose your spell type (Beam, Lobbed, Point)
    • Chose your element (Fire, Ice, Earth, Lightning)
    • Chose your modifier (Split, Cluster, Bouncy, Explosion)
  • Gesture recognition using AirSIG
  • Made in Unity3D using OculusVR

This was a really fun project, and very educational as well, since I was the lead programmer for the team with 3 other programmers working alongside me.

We also learned a lot about feature creep, and keeping expectations simple from the start (we originally planned 128 unique spells and 3 schools of magic)

The game can be downloaded here: Google Drive