Square-Pot / Plant-Passport

Django based web-service for tracking information about your plants: watering, illnesses, photos, etc. Generating labels (pdf-file for printing) with data matrixes. Auto recognition plant by data matrix on photo.

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PlantPassport

This is PlantPassport project under development on Gitpod infrastrucutre with a Python Django template.

Main goals:

  • keep all parameters of the plant
  • track dynamic of events and changes
  • create photo albome for plant in chronological order
  • generate UID for each plant for identification
  • generate QR-code for each plant for labels

First Step

  1. The main concept is blank model of item (plant) wich is enriches with different attributes, not predetermined.
  2. Event sourcing architecture

Detailed tasks for step One:

+ list view: filter by attribute
+ services: create service for returing required data
+ I18N: save user setting for current language

Step Two

  1. Not just attributes, but also actions.
  2. Photos and gallery on timeline

Detailed tasks for step Two:

+ add events:
    + watering
    + fertilizing
    + repotting
    - pollination
- conditions:
    - blooming
    - sickness
+ plant view page: add link for setting up of main plant picture (for profile and thumbnai in plant list)
- groups: on plant list page add ability to add plants to exitsting groupps
+ fancy timeline with changes and events
- events-filter
- friends and  viewing status of plants profiles:
    - public: for all
    - friends: for friend
    - privat: for me 

Step Three

  1. Data Matrix Code generator
  2. Data Matrix Code detector

Detailed tasks for step Three:

+ pdf with labels generator
- show Data Matrix on plant page
+ add interface for upload image or multiple images for detecting PUID from Data Matrix  and addition if for particular plants

About

Django based web-service for tracking information about your plants: watering, illnesses, photos, etc. Generating labels (pdf-file for printing) with data matrixes. Auto recognition plant by data matrix on photo.

License:MIT License


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Language:Python 69.4%Language:HTML 27.8%Language:JavaScript 2.7%Language:Dockerfile 0.1%