Juniper Tools is another venture into front-end. It's a suite of tools built to help accomplish those random tasks I've sometimes found myself doing. I used Next.js along with tailwind css for this one.

Daily blur is a game where you try to guess blurred images of celebrity faces, movie posters, album covers and video games. Each day provides a new set of images. This is my first project made with React.

This project is about making financial data easier to understand and more accessible to the average retail investor. It aims to provide valuable financial data to help make informed investment decisions. Built with Ruby on Rails, financial Data provided by the IEX API and the subscription payment processing is handled by Stripe. The app is deployed with Heroku. was deployed with Heroku.

A local landscaping company wanted to showcase their projects and improve their online presence with a website. One thing I learned with this project was finding a low cost solution for hosting the site and the images. I went with Heroku + Cloudinary to keep the monthly cost as low as 7$ a month.

My capstone project for second year was to build a site for computer science students at Okanagan college. It allowed users to select what they were interested in to be notified of events and news via email. Unfortunately the site still hasn't been hosted by the college. All the code is still available on Github. This project taught me about working collaboratively, dividing workload and solving problems as a team. We used Django for this project so it helped me improve at python.

My tetris clone was made for a final project in my Video Game Development class. I wanted to challenge myself to create a multiplayer game so I made this game a 2-player tetris battle. The backend server was made in Node.js and the graphics and game mechanics were made in pure HTML5. This project allowed me to improve my knowledge of Node.js and really showed me how powerful HTML can be.

My 4th year capstone project was to create a system that generates a social sentiment score for a given utility provider. Using the twitter api we were able to gather tweets, store relevant tweets regarding a utility company, and generate a sentiment score using a natural language processing system. During this project I got familiar with using api's with python and started learning how to use the Flask framework. We used an agile methodology throughout the entire year to develop this project.