welcome to the food:pod project!

read the wiki here

the food:pod project

the food:pod project is a collaborative effort by students from hwa chong institution aimed at tackling food wastage through innovative technology. it comprises three main components: the app, the bin, and the ai model.

components

• food:pod: a smart food waste bin utilizing image recognition to identify and weigh deposited food items, integrating with the ai model for waste analysis and tracking. learn more about the food:pod.

• food:pod app: manages user interaction, offering insights and recommendations based on data from the food bin. learn more about the food:pod app.

• food:pod image recognition model: trained to detect and quantify food waste, using machine learning to enhance accuracy over time. learn more about the image recognition model.

purpose

the project aims to harness technology to promote mindful consumption and reduce food wastage by providing users with real-time data and insights.

checklist

• bin
  • weight detection
  • picture taking
  • picture comparison
  • bottom detection
  • food detection
  • weight estimation
  • database upload
• app
  • design
    • logo
    • font
    • dark mode
    • vector graphics
  • pages
    • trends
    • live
    • logs
    • settings
• model
  • online image data
    • popcorn chicken
    • french fries
    • baked beans
    • rice
  • bin data
• wiki
  • homepage
    • title
    • summaries
    • picture
    • logo (title)
    • logos (summaries)
  • pages
    • introduction
    • smart bin
    • mobile app
    • image recognition model
    • credits