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Developed an android mobile app (GreenFinder), trained, and evaluated two deep learning image classification models for the use-case. The mobile app classifies scanned fruits, vegetables and flowers, as well as provides knowledgeable information on each classified item.

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deep-learning neural-networks knowlege-graph mobile-app agricultural-modelling python tensorflow-lite tensorflow computer-vision google-colab

greenfinder-deep-learning's Introduction

GreenFinder

-- READ ME --

The named files below contains the codes used for implementing the project.

  • GreenFinder_DL-Model_CODE: This is a python jupiter notebook containing the code for importing the datasets from kaggle, training the model with an option of using three types of pretained models and downloading the model with its corresponding class labels. The file can be opened and run on google colab.

  • GreenFinder_Importing_Dataset_from_GooleDrive_Method: This is also a python jupiter notebook containing the code for importing the datasets from google drive and trainig the image classification model. The file can be opened and run on google colab also.

  • Dataset: https://www.kaggle.com/tobiek/green-finder

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