/project_4

Primary LanguageJupyter Notebook

Foot Print App: Reducing Personal Plastic Waste Footprint

Project description

(adapted from project descriptions provided by organizers)

Plastic pollution is one of the most pressing threats to our global oceans. From providing us with half of the oxygen we breathe and stabilizing our climate, to feeding over one billion people worldwide, the oceans are vital to our everyday wellbeing.

However, each year an unprecedented amount of plastic litter- an average of 8 mln tonnes - make their way to the marine realm, having devastating consequences for wildlife and compromising our ecosystem's health. Because 80% of plastic litter is estimated to originate from land, we can all take action towards a healthier future for our environment and ourselves by tackling our individual plastic footprint.

A 2018 study found that 1.1 billion of single-use items including bags and cups filled Metro Vancouver landfills - equivalent of 400 items per resident (source: TRI Environmental Consulting).

Our goal is to create an application that helps users to track and reduce their plastic footprint. The final app should allow the user to compare their plastic waste habits to the average Vancouverite or the average Canadian or North American.

For our data sources we have:

  • Metro Vancouver Study 2018 Vancouver Transfer Station - Combined Waste Sort Results.
  • We can also supplement these data sources with any suggestions we come up with as a team.

Team members

  • Katelyn Boughton (Hacker)
  • Seung Yun Kim (Mentor)
  • Amanda Leslie (Hacker)
  • Ore Ogundipe (Team Lead)
  • Lien Quach (Hacker)
  • Rosalyn Williams (Hacker)

Datajam Schedule

Time Description
8:30am Opening Ceremony
9:30am Official hack start time! Meet together as team and get to know each other
9:45am Project brainstorming & defining tasks
10:00am Optional Git workshop*
10:30am Hack & work on tasks
12:30pm Check-in #1: meet back up as a team
1:00pm Hack & work on tasks
3:30pm Check-in #2: meet back up as a team
Debugging, prioritizing remaining tasks
5:00pm Final repository merging
Prepare demo or slides
6:30pm Project deadline & final Presentation!
7:30pm Career Panel & Q&A
8:30pm Awards Ceremony & Closing

*For those who need help with Git! For those who don't, we can stay on call and continue brainstorming.

How to use code in this repository

  • Install project requirements pip install -r requirements.txt

  • Run Application python app.py

References

  1. Metro Vancouver Study 2018 Vancouver Transfer Station - Single-Use Items Waste Composition Study
  2. Plotly Dash - Framework for building ML & data science web apps.
  3. Pandas - Open source data analysis and manipulation tool, built on top of the Python programming language.