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recycling's Introduction

Final Project (AMLI: Recycling)

Author(s): Aisha Saleem, Narangerel Boldbaatar, Nicolas Decavel-Bueff, Qianti Min

Objective

      We want to use Machine Learning techniques, specifically Classification, to raise awareness in regards to what can and what should not be recycled. The final product will include a model that, given an image, will identify whether or not the main item in the picture is Recyclable (Plastic, Glass, Metal, Cardboard, Paper), E-Waste, or Trash. Later, we will also deploy this model in a web app that will incorporate user feedback to give us an idea of the model's "use-case" accuracy while populating more images into our training dataset.

Running our Code

       To run our model, simply open up 'Training_Model.ipnyb' in a juypter notebook and the rest should be self-explanatory from the code. Our web-deployed app can be seen at: https://recycling-test.onrender.com/.

For more information, please view our Design Document

recycling's People

Contributors

mintmin avatar ndecavel avatar hmc-otter-s18 avatar narangere avatar asaleem20 avatar

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