Welcome to the VCT Hackathon: Esports Manager Challenge, powered by AWS and Riot Games!

You are hired as a data scientist on a new VALORANT Esports team and have been tasked by the team’s general manager to support the scouting and recruitment process. Create a LLM-powered digital assistant to build teams and answer various questions about VALORANT Esports players.

VALORANT is a tactical FPS by Riot Games, combining precise gunplay with unique agent abilities in a strategic 5v5 format. The VALORANT Champions Tour (VCT) is the official esports league for the game, featuring regional qualifiers, leagues, and culminating in a global championship.

Leveraging Amazon Bedrock’s generative AI capabilities, you will use provided data sources to demonstrate effective information retrieval and analysis, creating a digital assistant that enhances understanding of VALORANT’s dynamic esports scene.

What to Use

  • Amazon Bedrock native functionality such as Agents, Knowledge Bases and more!
  • Esports data from Riot or approved community resources
  • Check out the Resources Page

Reminders

  • Aim for small, cost-effective models - LLMs can get expensive quickly
  • Do not use image and video assets to train models
  • Join the Devpost Discord

Requirements

What to Build

Build a LLM-powered digital assistant with a chat interface using Amazon Bedrock’s native capabilities. Use this new technology to build teams and answer various questions about VALORANT esports players, leveraging provided data sources and demonstrating effective information retrieval and analysis.

What to Submit

  • Code: Provide a URL to your code repository to show how your project was built.

  • Demo: Include a video (should be about 3 minutes) that demonstrates your submission. Videos must be uploaded to YouTube, Vimeo, or Facebook Video and made public.

    • Judges will not be reviewing beyond 3 minutes.

  • Methodology Write Up: Should include a short explanation of how the model was trained and any notes about the methodology underlying team composition outputs. Include information about any other data sources used, and your findings and learnings as you worked through the project.

  • Tooling: Include an explanation of the AWS services used to build the project.

  • Optional Tagging: AWS enables you to assign custom tags to your resources. A tag is a key-value pair applied to a resource to hold metadata about that resource. Each tag is a label consisting of a key and an optional value. Not all services and resource types currently support tags (see Services that support the Resource Groups Tagging API). We recommend that any infrastructure you launch be tagged with “key: vct-hackathon value: 2024”.

  • Optional Access: Provide a public URL to your working app

Please check the Official Rules for full details.

Hackathon Sponsors

Prizes

$61,000 in prizes

1st Place

• $10,000 USD
• $10,000 in AWS promotional credits
• Four (4) tickets to Champs 2025 (Does not include airfare and hotels)
• 1-hour virtual meeting with AWS and Riot technical leads
• Opportunity to be featured in an AWS blog post

2nd Place

• $7,000 USD
• $7,000 in AWS promotional credits
• 1-hour virtual meeting with AWS and Riot technical leads
• Opportunity to be featured in an AWS blog post

3rd Place

• $5,000 USD
• $5,000 in AWS promotional credits
• 1-hour virtual meeting with AWS and Riot technical leads
• Opportunity to be featured in an AWS blog post

Best Mixed-Gender Team Submission

• $1,000 USD
• $2,000 in AWS promotional credits
• Opportunity to be featured in an AWS blog post

Best Cross-Regional Team Submission

• $1,000 USD
• $2,000 in AWS promotional credits
• Opportunity to be featured in an AWS blog post

Best Rising Star Selection

• $1,000 USD
• $2,000 in AWS promotional credits
• Opportunity to be featured in an AWS blog post

Honorable Mentions (3)

• $1,000 in AWS promotional credits
• Opportunity to be featured in an AWS blog post

Most Valuable Feedback (10)

• $500 in AWS promotional credits

Devpost Achievements

Submitting to this hackathon could earn you:

<%= name %>
<% if (has_levels) { %> level <%= next_level %> <% } %>

Judges

Aneeka Latif

Aneeka Latif
Engineering Manager, Data Science | Riot Games LinkedIn

Cody Watson

Cody Watson
Research Scientist | Riot Games LinkedIn

Doug Stevenson

Doug Stevenson
Director, Software Engineering, Esports Tech R&D | Riot Games LinkedIn

Eryk Banatt

Eryk Banatt
Director, Software Engineering, Esports Tech R&D | Riot Games LinkedIn

Nick Straughn

Nick Straughn
Senior Product Manager, Esports Tech R&D | Riot Games LinkedIn

Vanessa Tse

Vanessa Tse
Product Manager, Esports | Riot Games LinkedIn

Annie Harris

Annie Harris
Principal, Strategic Sports Partnerships | AWS LinkedIn

Ashwin Raghuraman

Ashwin Raghuraman
Senior Solutions Architect, Games | AWS LinkedIn

Banjo Obayomi

Banjo Obayomi
Senior Developer Advocate | AWS LinkedIn

Olga Krasovski

Olga Krasovski
Director, SA for M&E, Games, Sports & Telco | AWS LinkedIn

Pawel Krzywicki

Pawel Krzywicki
Senior Security Engineer | AWS

Tanner McRae

Tanner McRae
Senior Solutions Architect, GenAI | AWS LinkedIn

Judging Criteria

  • Technical Implementation - 60%
    Includes the quality of the digital assistant functionality, data integrations and info retrieval, language model performance, and effective use of AWS Gen AI or Deep Learning tools.
  • Digital Assistant Functionality - 30%
    Includes the extent to which the digital assistant can build and suggest teams, the accuracy of assigning roles, and the effectiveness of offering team strategy insights.
  • Creativity and Innovation - 10%
    Includes the novelty of the approach and innovative use of AI.