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Mike's Projects

aws icon aws

Easy command line access to Amazon EC2, S3, SQS, ELB, and SDB (new!)

aws_rekognizer_demo icon aws_rekognizer_demo

First thanks to Ben Snively and Rob Nolen for all their help with this. This is a quick demo of AWS rekognizer a photo analytics and recognition service, tied to a slackbot. A photo upload to slack triggers rekognizer to post in Slack about what the image is or what's recognized. In turn there is an S3 copy of the image which then triggers a lambda function to check the photo against a watchlist bucket. If the photo is matched this queues an MQTT thread to be posted to a thing shadow in AWS IoT which is connected to a Phillips Hue Controller managing a Hue Go light. It turns the light from Green to Red signaling that the person is on a watchlist. In order to clear that alert an Amazon Dot is used with a custom Alexa skill to trigger a Lambda function that posts a clear message back to the MQTT thread. There will be future iterations of this so stay tuned

gists icon gists

Gists for use in GraphGists.

hello-python icon hello-python

A sample Python/Flask web application deployable to Cloud Foundry

justsaying icon justsaying

A light-weight message bus on top of AWS services (SNS and SQS).

lambda-refarch-imagerecognition icon lambda-refarch-imagerecognition

The Image Recognition and Processing Backend reference architecture demonstrates how to use AWS Step Functions to orchestrate a serverless processing workflow using AWS Lambda, Amazon S3, Amazon DynamoDB and Amazon Rekognition.

powershell icon powershell

Collection of scripts, functions, and examples using the SolidFire Tools for PowerShell

rwll-player-evaluations icon rwll-player-evaluations

Smartphone data entry piece for Little League evaluations to match evaluation numbers with skill determination

twitterapi icon twitterapi

Minimal python wrapper for Twitter's REST and Streaming APIs

vdi-calc icon vdi-calc

Ruby code to estimate virtual desktop environments

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