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Repository for an Azure function acting as the prediction engine for the bachelors project of Andrei, Luis and Martin. Also has a jupyter notebook going into detail our process of creating the model.

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BPR-TEAM/FlowerPredictFunction

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FlowerPredictFunction

Repository for an Azure function acting as the prediction engine for the bachelors project of Andrei, Luis and Martin.

This notebook has the complete explanation of what decisions were taken when creating the model. The Dataset for training and some test images are stored in this drive, for reference. Last but not least, the DataManipulation mentioned in the the Notebook is another project, in case you want to check it out!

This repo is part of the larger ⬇

Orange-bush!

A website for monitoring your plants with some added machine learning.

What the project does

Exposes a REST Api that acts like the backend for the website.

Why the project is useful

It really isn't unless you like plants or machine learning or you're us and like us want to graduate.

How users can get started with the project

Don't. In reality the project is hosted in Azure Cloud using App service for the REST Api, Azure static app service for the frontend Api, Azure Database for PostgreSQL for the database and (hopefully) Azure Functions for the machine learning bit as soon as we train the model[s].

Who maintains and contributes to the project

Probably us. Andrei handles the frontend written in JS and the backend/machine learning is handled by Martin and Luis.

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Repository for an Azure function acting as the prediction engine for the bachelors project of Andrei, Luis and Martin. Also has a jupyter notebook going into detail our process of creating the model.

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