In line with the recent formation of our working group on AI/ML, I wanted
to share a document that Yash was seeking feedback on regarding the usage
of cloud-based AutoML on GCP vs MLKit which is free of charge and deployed
on-prem. This is for the Vision PPI project.

@Yash Khare <[email protected]> based on this analysis, from a cost savings
and flexibility perspective, I would definitely support MLKit. In terms of
the accuracy and power of the model, it's on part with AutoML? What
implications would not choosing a cloud-based option have for others trying
to train and deploy model in future. Are we able to package up and
containerize what we're doing with MLKit and share with others to deploy in
their cloud or on-prem environments?

Ed

---------- Forwarded message ---------
From: Yash Khare <[email protected]>
Date: Tue, Jul 7, 2020 at 3:37 AM
Subject: Usage of AutoML for the Vision PPI project
To: Nayan Ambali <[email protected]>
Cc: Ed Cable <[email protected]>


Hello,

As we discussed in the last meeting, I made a document that summarizes the
pricing of the AutoML API that we are planning to use. I have also provided
an alternative to it which is free of cost, MLKit. I request you to please
go through the doc and tell me which option should we proceed with. Taking
either option will need around 2-3 weeks for implementation so time isn't a
problem since it is the amount of time I mentioned in my proposal. I have
experimented with both AutoML and MLKit and am familiar with how to
integrate them into an Android app.

If we decide to go ahead with AutoML, we would need a few free credits for
GCP so that we can keep the models deployed.

Here is a link to the doc with all the details:
https://docs.google.com/document/d/15zCBE0zsJSVWmH3hzmMm0B2UGXnD-BqqPTjNRMNj8CY/edit?usp=sharing

I request you and Ed to please go through the document and let me know with
which option to proceed with.

Looking forward to hearing from you,
Cheers,
Yash.


-- 
*Ed Cable*
President/CEO, Mifos Initiative
[email protected] | Skype: edcable | Mobile: +1.484.477.8649

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