Montreal's largest AI themed hackathon joined by the brightest, most innovative students across eastern Canada.

For 24 hours on Sep 28th - Sep 29th, ImplementAI will have 150 participants collaborate and build applications around the latest technology AI has to offer. The hackathon will bring together researchers from the leading AI companies in the Montreal AI ecosystem, companies and students to explore the implementation of novel technologies. It goes without saying, there will be free food, crazy swag, workshops, awesome prizes and more food (did I say food yet?). Whether you're an AI novice or veteran, you'll be given the tools and guidance to develop your skills and leave this hackathon with a better understanding of AI applications :)

View full rules

Prizes

$CAD6,300 in prizes

First Place

Apple Watch Series 3

Second Place

Kobo Clara

Third Place

50$ Amazon Gift Cards

Gift Bag (Wrnch Prize)

All teams using our technology will get a gift bag from Wrnch. If your team wins the ImplementAI hackathon using wrnchAI API on Edge or Cloud, each team member will get the equivalent of 100$ in gift cards.

Flight Simulator (CAE Prize)

Prize offered by CAE. Teams using the CAERise dataset will have a chance to win a flight training simulation experience!

Fitbit (Hatch)

Prize offered by Hatch. Teams that follow the Commodity/Steel challenge will have a chance to win a Fitbit!

Devpost Achievements

Submitting to this hackathon could earn you:

Eligibility

The hackathon is open to all students!

Judges

Daniel Tweed
Wrnch

Chafye Nemri
Wrnch

Raphael Stein

Raphael Stein
Samasource

Christine Yu

Christine Yu
Coveo

Danielle Zyngier

Danielle Zyngier
Hatch

Guillaume Huot
National Bank of Canada

Jaime Subiabre

Jaime Subiabre
CAE

Maher Chaouachi

Maher Chaouachi
CAE

Laurent Desmet
CAE

Reza Davari
Coveo

Hugo Parent-Leduc

Hugo Parent-Leduc
Hatch

Julie Nguyen

Julie Nguyen
Hatch

Andrew Sutcliffe
Coveo

Judging Criteria

  • Artificial Intelligence
    The relevancy and use of artificial intelligence in the project.
  • Technicality
    The completeness and functionality of the project, and the relevancy of the resources utilized to accomplish the goal of the project.
  • Originality
    A project that hasn’t been done before, or doesn’t currently exist. The project addressing a new or unsolved problem, or creating unique solution to an existing problem.
  • Presentation
    Was the product presented in a clear and concise way?
  • User Experience
    The user experience and flow of the project is pleasant and delightful.
  • Social Good
    Does the project contribute to the greater good of society? Is it accessible to those from different backgrounds and those with physical or mental disabilities?
  • Sponsor Specific
    For sponsor specific challenges, each of the companies will have their own judging criteria to pick the winner of their challenge.

theme

  • Machine Learning/ AI