Develop a creative solution with ready-to-use ML models from AWS Marketplace deployed on Amazon SageMaker

Pre-trained Machine Learning (ML) models are ready-to-use building blocks that you can use to develop intelligent applications. In this challenge, you’re invited to develop innovative solutions using one or more of the curated ML models from AWS Marketplace that make an impact for businesses, users, and customers.

You can conceive ideas for public safety monitoring, individual worker safety using computer vision models. Or, you can integrate with a Robotic Process Automation application. Or, you can automate data entry, search with text extraction, summarization models. Or, even build a custom Q&A chat bot. Or, you can utilize buyer propensity predictions to personalize messaging and digital ads on a web-site. Or, dream up something else. There are so many innovative web, mobile, or backend applications waiting to be built!

This is a chance to show off your skills, learn something new, connect with the wider developer community, and get your shot at part of $48,000 in prizes.

No prior ML knowledge necessary: You can easily develop ML solutions by integrating the ML model via a REST API call. See resources to learn more about machine learning from AWS and inspiration for what you can build.

AWS Marketplace is a curated digital catalog with thousands of listings from independent software vendors that enables you to find, test, buy, and deploy software that runs on AWS. With Machine Learning Solutions in AWS Marketplace, you can find and procure hundreds of ready-to-use algorithms and models and deploy them in just a few clicks. AWS Marketplace Machine Learning solutions deploy directly in Amazon SageMaker, so you can simplify data experimentation, reach deeper insights, and increase productivity and efficiency across an unlimited number of use cases.

Office Hours Schedule

Get your questions answered by AWS Solutions Architects! Join the #office-hours Slack channel to participate.

  • 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

View full rules

Prizes

$48,000 in prizes

First Place

• $5,000 USD
• $4,000 AWS Credits
• Invitation to re:Invent 2020 (travel for up to two members of the team - worth $5k)
• Meeting w/AWS team/product lead
• AWS Blog post featuring winner
• Feature on select AWS social channels

Second Place

• $4,000 USD
• $3,000 AWS Credits
• Invitation to re:Invent 2020 (travel for up to two members of the team - worth $5k)
• AWS Blog post featuring winner
• Feature on select AWS social channels

Third Place

• $3,000 USD
• $2,000 AWS Credits
• AWS Blog post featuring winner
• Feature on select AWS social channels

Honorable Mention (5)

• $1,500 USD
• $1,500 AWS Credits
• AWS Blog post featuring winner
• Feature on select AWS social channels

Most Popular

• $1,000 USD
• $1,000 AWS Credits
• AWS Blog post featuring winner
• Feature on select AWS social channels

Requirements

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: these models are deployed on Amazon SageMaker to generate inferences
  • At least one AWS service that is not Amazon SageMaker
  • Recommended: Use one or more AWS AI services from this list.

Submission Guidelines:

  • All submissions must include:
    • An end-to-end demonstration video of the solution
    • Text description of the problem statement or primary use case
    • Sample input and sample output (can be included within repository)
    • An architecture diagram with an explanation
  • All submissions must include a link to your GitHub or Bitbucket repo hosting the solution code and all deployment files and testing instructions needed for testing your project. (If the repository is private, share access with testing@devpost.com).
  • [Optional] Inclusion of a Jupyter notebook that shows creative usage of the model from AWS Marketplace in association with your use case (see sample notebook).
  • [Optional] Use any other source code related to the invocation and use of the model from AWS Marketplace.

 Plagiarized solutions will be disqualified. 

Judges

Jeff Barr

Jeff Barr
Vice President of AWS Evangelism

Stephen Orban

Stephen Orban
GM of AWS Data Exchange

Kamlesh Talreja

Kamlesh Talreja
GM, AWS Marketplace

Julien Simon

Julien Simon
AWS Technical Evangelist

Atul Setlur

Atul Setlur
Principal Product Manager, AWS Marketplace for Machine Learning

Kanchan Waikar

Kanchan Waikar
Sr. Partner Solutions Architect, AWS Marketplace for Machine Learning

Judging Criteria

  • Quality of Idea
    (Includes creativity and originality of the idea.)
  • Implementation of the Idea
    (Includes how well the idea was executed and the extent to which the underlying AWS Marketplace model and AWS Service was leveraged by the developer.)
  • Potential Value
    (Includes the extent to which the solution has the most positive impact for users and/or customers.)

theme

  • Machine Learning/ AI