Category Archives: DynamoDB

DeepLens Challenge Hackathon Project Submitted

Nautilus Face Tracker

My DeepLens Challenge Project is called ‘Nautilus Face Tracker’. The goal of my project is to integrate the DeepLens Camera with Alexa, using AWS Cloud as the back-bone and brains of the system, to allow Alexa to recognize faces as well as learn to recognize new faces she has never seen before. My project was more of an AWS Service Integration problem rather than a Machine Learning exercise, really; but I did learn alot about the DeepLens Platform and definitely have my interest piqued in learning more about Machine Learning and Artificial Intelligence. In fact, my girlfriend also has a new interest in the subject presumably just from listening to me work on this project. She even started taking a ChatBot course last week on Coursera as a result. These are fascinating times to work in the Information Technology field (and I shan’t be outdone)!

Here’s the architectural diagram I made to describe and explain, at a high level, how I put my project together. The source code is still in a private repository while the competition takes place. The Hackathon ends on Valentine’s Day (2/14/2018).

Nautilus Face Tracker Architecture

I put this whole thing together using some fairly simple Python and nodejs scripts and a few Lambda Services.  In retrospect, the AWS services and programming APIs are very easy and powerful to use.

Here’s the video I made demonstrating my project.  A video demonstration of working code was a requirement for this project.

So What’s Next?

I definitely want to learn more about Machine Learning. I found some good learning resources as starting points, and Coursera has some good Deep Learning classes as well:

Building A Startup On AWS

Let’s Dance

Building on the knowledge learned from my previous two blog posts on my following of the Wild Rydes AWS Serverless Computing Tutorials, ( Wild Rydes Part I and Part Deux), I decided to put some of that information to use in my own work at

I’ve been working on some mobile apps and a back-end platform supporting my trans-Atlantic Ocean Rowing attempt last year with my girlfriend, Cindy. I’d like to turn some of the things I’ve developed thus far into a Software as a Service (SaaS) for other people to easily use on similar adventures. To that end, I wanted to quickly create a responsive website to put out some information about my future offerings, including the ability to allow interested parties to contact me by providing their email address and a contact message in a simple contact form.

Know Your Limitations. Build On the Shoulders of Giants

I know I do not have great web design skills. Web Design is just not my focus. But I needed to create a nice looking website for my startup landing page. What to do? I did some quick searches and found lots of free Bootstrap templates I could use for my purposes. Over the course of an afternoon I grabbed a free Bootstrap Template that I liked, cut-in some of my own images, and modified the html to create the menus and sections I wanted in my landing page. I brought in some of the JavaScript from the Wild Rydes tutorial I was working through to connect my Contact Form to my DynamoDB database running in my AWS Account. After I had a look-and-feel I was going for, and the functionality was working ok for the Contact Form, it was simply a matter of uploading my web site assets to my S3 bucket:

> aws s3 sync . s3://

Stop Daddy

I had previously registered my Domain Name ( with GoDaddy last year. Now I wanted to move the DNS Registrar to AWS. This turned out to be very easy. Once I followed the documented steps to move a domain to AWS, I only had to add an A Record to point to the domain to my S3 Bucket containing website artifacts. I will point this A Record to a CloudFront endpoint soon.

Lipstick On A Pig

Now that the landing page is up, there is a mountain of work to do. The next step is to get email working for my domain using AWS SES so I can use that domain email to register as an organization in the Apple iOS Developer Program.