7 months ago

Announcing the winners...

The judges have weighed in, the public has voted and the winners have been chosen! All winners will receive an email with next steps in the coming days so keep an eye out. 

Congratulations to the winners!

In the meantime, go to…

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8 months ago

Public voting is now open

It's your turn to pick the Popular Choice award winner! Browse 'AWS Marketplace Developer Challenge: ML Powered Solutions' submission gallery, click on your favorite, and vote. Be sure to spread the word via your social networks, too!

You can encourage your network to vote by Tweeting or posting your project on other social media avenues using this line: Public voting for the #AWSMarketplaceMLChallenge is now open! Will you check out my submission? {{link to your project}}

Please note, as per the Devpost terms of service, you may not tamper with the vote process through manual or automated means,…

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8 months ago

Thanks for Taking Part!

Thank you for building such incredible solutions! While you wait for the results, take a look at all of the outstanding projects in the gallery. Stay tuned for the winner announcement in a couple of weeks!


Don’t forget to unsubscribe to ML model, and cleanup Amazon SageMaker, and other AWS services to avoid incurring charges.

Questions?

If you have any questions about the hackathon, please post on the discussion forum.


8 months ago

Final call: Submissions close Wednesday (4/15)!

Just a final shout-out this is the last weekend to work on your project and submit to AWS Marketplace Developer Challenge: ML Powered Solutions.

Final checklist:

  • Are you submitting a machine learning solution using at least one AWS Service (apart from Amazon SageMaker) and at least one of the curated models from AWS Marketplace?
  • Did you provide access for testing through a GitHub or BitBucket code repository?
  • Have you created a submission video? Does your video meet the competition guidelines? Does your video clearly demonstrate how your application works? Is it no more than five minutes long? (See

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8 months ago

Prize added - participation prize!

We've added a participation prize! You have the opportunity to receive a prize for participating in the challenge.  

A participation prize of $100 AWS credits will be given to the first 100 eligible submissions. But, please note that participation prizes will be given to one per eligible Maker (not per eligible submission - see rules for full details). 

 


Questions?

If you have any questions about the hackathon, please post on the discussion forum.


8 months ago

One week to go–the deadline is almost here!

Time’s almost up - there’s only one week left to submit your project to AWS Marketplace Developer Challenge: ML Powered Solutions.  Work on your testing, double check the requirements and get your demo video wrapped up for submission!

Make sure you’re monitoring your free trial usage so that you don’t incur any additional charges.

Reminder: Submissions are due April 15 before 2pm PDT. (Find out what time that is in your city.)

Questions?

If you have any questions about the hackathon, please post on the discussion forum.


8 months ago

Substitution made to first and second place prizes

Amazon's top priority is the well-being of employees, customers, partners, and event attendees, therefore, as you may have noticed the re:MARS 2020 event was canceled due to the growing concerns around COVID-19. As such, changes have been made to the first and second place prize packages — invitations to re:MARS 2020 have been substituted with invitations to re:Invent 2020; components of this prize can be found in the rules. 

 

Questions?

If you have any questions about the hackathon, please post on the discussion forum.


8 months ago

Two weeks to go—get ready with this submission checklist

It’s getting close!  There are two weeks left to submit your ML solution to AWS Marketplace Developer Challenge: ML Powered Solutions. Submissions are due April 15th before 2pm PDT. (Find out what time that is in your city)

If you haven't started a submission yet, please do so now. (We’ll walk you through our submission form process if you need help.) And if you've just recently joined the challenge, explore the Resources page and your “to-do’s”.

Submission checklist

Before the deadline passes, make sure you run through this list:

  • Are you submitting a machine learning solution using…

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8 months ago

Three weeks left—submit early + bonus tech tip

There are three weeks remaining in the AWS Marketplace Developer Challenge: ML Powered Solutions. Submissions are due April 15 before 2pm PDT. (find out what time this is in your city)

Start your submission now

Starting a submission is a good way to make sure that your project meets the requirements. There’s nothing worse than getting to the deadline, only to realize that you’re missing a key component. Remember: once you submit a project, you can keep editing it as needed at any time prior to the submission deadline. Need a primer on how the submission…

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9 months ago

Thank you to our partners!

Shoutout to the AWS Marketplace Developer Challenge: ML Powered Solutions partners for providing ready-to-use models to build innovative machine learning solutions!

Agmis - From tailored Salesforce solutions to advanced Computer Vision applications, Agmis enables companies to harness the capabilities of innovative technologies for their business needs.

CVEDIA - Creates commercial-grade machine learning models for computer vision applications where data is limited or available. 

Dynamic AI56 - They are focused on providing complex integrated solutions, so they study how employees use various communication tools across company departments..

GTRIIP - A digital identity platform for global citizens, allowing them to validate user…

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9 months ago

One month left - Making a great submission video

There are four weeks remaining in AWS Marketplace Developer Challenge: ML Powered Solutions! Submissions are due April 15 before 2pm PDT. 

Start your submission now

Starting a submission is a good way to make sure that your project meets the requirements. There’s nothing worse than getting to the deadline, only to realize that you’re missing a key component. Remember: once you submit a project, you can keep editing it as needed at any time prior to the submission deadline. Need a primer on how the submission form works? Head over to our submission form tutorial

We know as…

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9 months ago

You’re Halfway There - Keep Going!

Important Challenge Note 

Understanding the requirements is sometimes half the battle to making a great submission, as a reminder, here are some key challenge points to keep in mind as you are working on your project:

Main requirement: 

  • You must create a machine learning solution using all of the following:
    • At least one of the curated models listed here from AWS Marketplace deployed on Amazon SageMaker
    • At least one AWS service that is not Amazon SageMaker

Judging Criteria:

  • Quality of the Idea (Includes creativity and originality of the idea.)
  • Implementation of the Idea (Includes how well the idea was executed…

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9 months ago

Office hours available - ask your questions!

Get your questions answered by Sr. Partner Solutions Architect from AWS Marketplace for Machine Learning, Kanchan Waikar — join the following #office-hours on the Slack channel.

  • March 18 - 9:30AM to 11:30AM EDT, 6PM - 8PM EDT
  • March 25 - 9:30AM to 11:30AM EDT, 6PM - 8PM EDT
  • April 10 - 5PM to 8PM EDT
  • April 14 - 5PM to 8PM EDT

Questions?

If you have any questions about the hackathon, please post on the discussion forum.


9 months ago

Did you know?! Hack Fact Friday

Did you know?

Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. Amazon SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models. Pre-trained ML models from the AWS Marketplace are also deployed in Amazon SageMaker.

Traditional ML development is a complex, expensive, iterative process made even harder because there are no integrated tools for the entire machine learning workflow. You need to stitch together tools and workflows, which is…

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9 months ago

Join the Community Chat and connect with the Dev Community

Whether or not you have started building your machine learning solution for the AWS Marketplace Developer Challenge, the Community Chat is the perfect place to connect with other developers!

 

Not only can you bounce ideas off each other and ask other developers for technical help, but also you can use the Community Chat to ask the AWS and Devpost teams questions!

Looking for a challenge team?  The Community Chat can also help you connect with potential teammates.  (You can also search the challenge Participants Page to message other developers.)

Happy Building!

Questions?

If you have any questions about the…

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