EazyHacks is a 36-hour student-run virtual hackathon sponsored by EazyML. Hackers have a day to build any software/hardware project from the ground up with a component of the project using EazyML's platform and/or API. We will be awarding prizes to the winners. We will also have a wide range of workshops with skilled and experienced mentors to teach skills like Machine Learning, Python, JavaScript, and many others. Hackers will have full access to mentors that can help them debug issues or develop their code to enable everyone to create awesome projects regardless of skill levels. We are dedicated to making EazyHacks a fun event for all hackers, so if you want the opportunity to learn new programming skills, build great projects, and compete for prizes, join us on November 13th at 6 PM for our opening ceremony!

 

Suggested Topic: Taming California's Wild Fires 

Raining ashes! Are you kidding me? Sounds apocalyptic. Believe it or not, it's real. Welcome to California. The wild fires have gone beyond wild this year. 4.1M acres burnt so far!

Join forces in taming this beast. As scientists, let's do our part. To tame the beast, one must understand the beast. Uncover the forces that make it go wild - by mining specific insights from the data.

Visit https://eazyml.com/blog/taming-california-wildfires/ for more information.

EazyML hackathon offers you a unique opportunity to explore and understand the behavior of wildfires in California from data gathered over the past several years. Seize the day and do your part! This topic is a suggestion. Feel free to choose any other topic you like as well.

Hackathon Sponsors

Prizes

$12,580 in prizes

First Place

$150 Amazon.com gift card for each team member

Clerky Company Lifetime Package

6-month 1Password Individual accounts for each team member

EazyML Deluxe Subscription for 6 months for each team member

AoPS $25 coupon code for each team member

1 year of Wolfram|One Personal Edition and a one-year subscription to Wolfram|Alpha Pro for each team member

Note: Some prizes may be contingent on the team working with EazyML to publish their project on the EazyML website

Second Place

$100 Amazon.com gift card for each team member

EazyML Deluxe Subscription for 6 months for each team member

1 year of Wolfram|One Personal Edition and a one-year subscription to Wolfram|Alpha Pro for each team member

Note: Some prizes may be contingent on the team working with EazyML to publish their project on the EazyML website

Third Place

$75 Amazon.com gift card for each team member

EazyML Deluxe Subscription for 6 months for each team member

1 year of Wolfram|One Personal Edition and a one-year subscription to Wolfram|Alpha Pro for each team member

Note: Some prizes may be contingent on the team working with EazyML to publish their project on the EazyML website

Honorable Mention (2)

1 year of Wolfram|One Personal Edition and a one-year subscription to Wolfram|Alpha Pro for each team member

Devpost Achievements

Submitting to this hackathon could earn you:

Eligibility

Teams can consist of up to four members and all participants must be at least 13 years of age to take part in EazyHacks. All participants must also be registered at the hackathon website. If any requirements are violated, the team will be disqualified.

Requirements

You will be required to submit your code as a GitHub Link along with a video describing your project. You must also have some documentation on how you utilized EazyML in your project.

Judges

Sai Vedagiri

Sai Vedagiri

Samuel Hampel

Raymond Shen

Xavier Etienne-Mcleod

Promod Radhakrishnan
Global Vice President of Oracle

Courtney Paulson, Ph.D

Courtney Paulson, Ph.D
Assistant Professor, Business Analytics at Southern Utah University

Deepak Dube, Ph.D

Deepak Dube, Ph.D
Founder & CEO at Datanomers & EazyML

Pranay Pogde

Pranay Pogde
President of Engineering at Datanomers and EazyML

Markus Lampinen

Markus Lampinen
Founder & CEO of Difitek & Prifina

Linesh Dave

Linesh Dave
Associate Director, Data & Analytics Lead at AT&T

Judging Criteria

  • Use of EazyML
    How well does the project integrate EazyML? How well did the project use resources provided by EazyML?
  • Creativity
    How creative is the project? Does it inspire people and allow them to build and create in their own communities?
  • Technical Complexity
    Is the project technically impressive? Complex? How technically sophisticated / advanced / elegant was the solution?
  • Design & Implementation
    Does it work? Is it implementable? Did the team think about the user interface (UI) and user experience (UX)? Was the product designed with users in mind?

Questions? Email the hackathon manager

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Hackathon sponsors

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