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Machine learning-powered image recognition system for finding recipes.

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emmabehr/SeeFood

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Backend

Requirements:
    Ensure the following python packages are installed:

        pip install opencv-contrib-python
        pip install numpy
        pip install tensorflow
        pip install flask
        pip install flask_restful
        pip install flask_cors

Uses TensorFlow to create a Neural Network
    - run train.py to create a neural network model that is saved to file under the 'model' directory

    place images in the following structure
    images
        <class_directory>
            <images of particular ingredient>

WebServer running API written using Flask
    post images to the classifier and it will return the ingredient it finds and a selection of recipes

Create a file called edamam.conf and ensure it has contents similar to this:
{
    "api_key": "<edamam api keyt here",
    "api_app": "<edamam api keyt here">"
}

FrontEnd

Built using ReactJS

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Machine learning-powered image recognition system for finding recipes.

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