recycling-identifier

There are 2 parts to this project ML (the machine learning bit) and cli (the interactive bit). Currently the dataset for the machine learning section is not very accurate (~30%) because I don't have enough data. Therefore, I have decided to leave this bit out of the current build. This code will run on any machine including a raspberry pi, mac and windows computer. There is a website in the very early stages (it's just a header) found at github.com/PaddyCooper08/rf-website

Getting started

These instructions are for a windows computer, you may need to change the commands to match your os.

For the dataset:

1. Clone the git repo to your local machine (this requires git to be installed on your computer):

   git clone "https://github.com/PaddyCooper08/recycling-identifier"

2. Create a new virtual environment to house the dependencies (this could take a while):

   python3 -m venv ./venv

3. Activate said virtual environment:

   cd venv/scripts/ && activate

4. Install the dependencies (this will take quite a long time):

   pip install -r requirements.txt (you need to be in the same directory as requirements.txt)

5. Build the data model:

   cd ./ML
python3 global.py
   Wait for this to finish then:
   python3 train_test.py
   You will be shown a graph with the accuracies and the model is stored in ML/output.

For the CLI:

1. cd into the correct folder:

   cd cli/paddy-recycling-identifier/paddy_recycling_identifier

Commands:

Command	Arguments
--help	n/a
recycle	Numbers 1-7
See the showcase video for a better tutorial.

To do

1. -In the works - Create website/desktop app to replace cli
2. Improve dataset accuracy
3. When more accurate, implement dataset