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Community Fridges Usage Data Acquisition

About this Project

RVA Community Fridges is a mutual aid group aimed at combating food insecurity throughout and around Richmond, Virginia. This repository is for the VCU senior capstone project to provide a way to collect usage data of these refrigerators. Usage data will help the organization acquire funding and understand how these fridges are being utilized in their communities.

Project Team

  • Taylor Scott - RVA Community Fridges - Sponsor
  • Dr. Daniel Cranston - VCU Department of Computer Science - Faculty Advisor
  • Ethan Leyden - Student Team Member
  • Damian Ashjian - Student Team Member
  • Jermane Jackson - Student Team Member
  • Khuong Nguyen - Student Team Member

Getting Started

The directory structure in this repository is to allow the project to have all its resources self-contained. Open Source software should not just be a repository of code. There are a number of directories to help you and others who will follow in your footsteps. It'll also allow the Linux Foundation OMP Mentorship program to keep track of your project and get a better understanding of the problems you encountered during the development of this project.

Folder Description
Documentation all documentation the project team has created to describe the architecture, design, installation, and configuration of the project
Notes and Research Relevant helpful information to understand the tools and techniques used in the project
Project Deliverables Folder that contains final pdf versions of all Fall and Spring Major Deliverables
Status Reports Project management documentation - weekly reports, milestones, etc.
src Source code - create as many subdirectories as needed

Note: Commits behind this fork could be automatically synced, meaning that changes made in the template are pushed into your repo. Please do not discard commits ahead (these are the updates you make to this repository).

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Code, documentation, and notes for the RVA Community Fridge VCU Capstone project.

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  • Jupyter Notebook 68.5%
  • C++ 14.8%
  • Batchfile 5.7%
  • Shell 5.6%
  • C 3.4%
  • Python 2.0%