SCRUM REPORT #5

[alexproskiw]

Each team member should make a comment on this issue answering:

• Name
• What did you work on this past iteration (2 weeks)?
• What were any major issues/challenges you ran into?
• What do you plan to work on for this coming iteration (2 weeks)?

[alexproskiw]

Alexander Proskiw

Tasks Worked On

• Added frontend homepage for showing recommended, owned, and subscribed projects
• Refactored frontend logic, thunks, and backend API endpoints to ensure consistent state management for users and projects

  Issues/Challenges Faced

• Inconsistent state management between the redux store and database was causing duplicated entries or missing entries, and it was difficult to troubleshoot where the exact issues were occurring

  Upcoming Work

• Connect the recommended projects page to the ML model API
• Fix remaining minor frontend bugs
• Prepare the final project presentation

[NariM11]

Nariman Muldashev

Tasks Worked On

• Deployed the server and the backend webapp on Render
• Added github actions deployment yaml file
• Helped complete the Progress 6 requirements by updating readme
• Started python subdirectory for ML recommender

  Issues/Challenges Faced

• Dealing with authentication callback url issue and env variables (had to create two authentication apps - one for development and one for deployment)

  Upcoming Work

• Finish ML recommender

[kaigg96]

Kai Groden-Gilchrist

Tasks Worked On

• Updated the pages/components to be more responsive, specifically on mobile
• Updated the project intake form to match final project db schema

  Issues/Challenges Faced

• Ensuring components remain legible even on mobile screen sizes. This involved removing some details on project cards so the limited space can be used for the most critical information.

  Upcoming Work

• Sanitize DB inputs
• Update documentation throughout the project

[chloevanct]

Chloe Van

Tasks Worked On

• Added three functionalities to SortBy Menu: newest, oldest, most active
• Add calls to update project's lastActivityDate whenever a comment or task is created, edited or deleted
• Add backend tests for project routes and updated Github Action workflow
• Kickstart emailing system when a user presses 'subscribe'

  Issues/Challenges Faced

• Choosing which email system to use, learning how to use it, and debugging

  Upcoming Work

• Get emailing system to work
• Incorporate ML model API
• Fix frontend bugs and real-time state update
• Prepare for final project presentation