Minutes
Date and Time: 3/6/22, 1 PM
Duration: 30 min
Place of Meeting: Daniel Pelepelin’s House.
Attendance: Daniel Pelepelin | Gabriel Flores | Nicholas Squicciarini
Discussion: Being our first meeting together as a group, we completed our initial tasks – creating the team website, making a shared google drive to upload the work to, contacting the client, and establishing the overall project down the road.
Date and Time: 3/27/22, 4:15 PM
Duration: 30 min
Place of Meeting: Zoom
Attendance: Daniel Pelepelin | Gabriel Flores | Nicholas Squicciarini | Molly England | Laura Mullen
Discussion: We had a meeting with Molly to clarify the goal for the project. Molly explained her vision and helped us understand what is required to know about creating the application.
Date and Time: 3/27/22, 12 PM
Duration: 1 hour
Place of Meeting: Daniel Pelepelin’s House.
Attendance: Daniel Pelepelin | Gabriel Flores | Nicholas Squicciarini
Discussion: During this meeting, we spent time learning React and NodeJS. We also tried learning the fundamentals of GitHub to build the application from a skeleton and not from scratch.
Date and Time: 4/10/22, 3:30 PM
Duration: 30 min
Place of Meeting: Daniel Pelepelin’s House.
Attendance: Daniel Pelepelin | Gabriel Flores | Nicholas Squicciarini
Discussion: During this meeting, we used Figma to design the UI of the mobile application.
Date and Time: 4/24/22, 2 PM
Duration: 30 min
Place of Meeting: Daniel Pelepelin’s House.
Attendance: Daniel Pelepelin | Gabriel Flores | Nicholas Squicciarini
Discussion: We started to create the database on FileMaker and began making the relationships between the tables.
Date and Time: 5/1/22, 1 PM
Duration: 30 min
Place of Meeting: Daniel Pelepelin’s House.
Attendance: Daniel Pelepelin | Gabriel Flores | Nicholas Squicciarini
Discussion: Still working on database schema as well as other portions of the application.
Date and Time: 5/7/22, 2 PM
Duration: 1 hour
Place of Meeting: Daniel Pelepelin’s House.
Attendance: Daniel Pelepelin | Gabriel Flores | Nicholas Squicciarini
Discussion: We coded a python application using pandas, pysimpleGUI, and excel to store data.