Projects Updates

The YW has asked for our help in developing a storefront/marketing website with e-commerce integration to host informational e-learning videos on the topic of Mindful Workplaces. These videos will help employees across Calgary manage stress, conflict, and pick up on emotional regulation skills, which all lead towards healthier work environments. You will expand your web development and e-commerce skills, while helping develop a product that will reduce stress and improve the work life of hundreds of Calgarians.

https://mindfulicity.ca

Mindfuel makes learning fun for young students by providing learning modules including videos, comics and games for students to interact with in the classroom (wonderville.org). They have an activity board (running a web socket with Google Maps API) that displays where in the world their learning module products are being used - each time a resource is accessed, it triggers the activity board. This activity board is important for internal users to assess demographics and usage of products, and to showcase to stakeholders. It’s also displayed on office monitors. However, it is also very old and outdated—it needs a total rebuild. They would like it to look more visually appealing with a more modern look, all while connecting to a database to grab and present non-sensitive data. Work with the freedom to choose between building on top of Mindfuel's current system, or perform a full system redesign.

The Alberta Mental Health Advocacy Coalition has asked Code The Change YYC to help build them a website. They are looking to expand their online presence so that they can reach more people and help advocate for the importance of mental health awareness in Alberta. This will be the easiest of the projects and will be a good project for members who are at the beginning of their programming journey.

The YW receives critical incident reports from people at risk describing the risks they are facing, along with various details regarding personal information and the incident itself. These reports can often be difficult to categorize, as the current format requires that volunteers at the YW read through each report to determine the type of report and who should manage it. They have asked for our help in developing a machine learning solution to analyze and correctly categorize the reports based on the type of incident. The technologies used will be discussed with the YW further, but you will be sure to hone your Python, ML, and data analysis skills by working on this project, while also helping vulnerable people receive the help they need at a more efficient rate.