About the challenge

Detroit Urban Health Challenge 2023: Unleashing AI for a Healthier Detroit

Description

The Detroit Urban Health Challenge is a two-day hackathon hosted by the University of Detroit Mercy. What sets this event apart is its targeted focus on leveraging Generative Artificial Intelligence (GAI) to tackle pressing and complex urban health challenges in Detroit. This is not merely a coding event; it's a collaborative platform that brings community organizations, tech companies, students, faculty, and healthcare providers together to make a tangible, real-world impact.

What Makes It Special?

Community-Centric: Community organizations present real health challenges, ensuring solutions are tailored and impactful.
Multi-disciplinary: A unique blend of tech experts, healthcare providers, and community leaders, fostering holistic solutions.
Mentorship and Sponsorship: Direct involvement of industry professionals for mentorship and various levels of sponsorship opportunities.
Focused Themes: Specific focus on five key areas of urban health, including a category for Billing, Benefits, and Administration.

Event Schedule (Subject to Change)

Day 1 (Friday, October 27)
- 5:00 PM: Registration
- 6:00 PM: Opening Ceremony & Problem Presentation
- 7:00 PM: Team Formation
- 8:00 PM - 9:00 PM: Initial Hacking Session
Day 2 (Saturday, October 28)
- 9:00 AM: Breakfast
- 9:30 AM - 3:00 PM: Hacking Session
- 3:00 PM: Project Submission Deadline
- 4:00 PM: Presentation and Judging
- 6:00 PM: Closing Ceremony and Awards

Requirements

Submission Requirements

What to Build?

Participants are required to build solutions that address one of the key focus areas of the Detroit Urban Health Challenge:

Resource Optimization
Risk Stratification and Early Intervention
Treatment Personalization
Preventive Health
Billing, Benefits, and Administration

Your solution must leverage Generative Artificial Intelligence (GAI) in some capacity. This could range from data analysis and prediction models to AI-driven applications or platforms.

What to Submit?

Project Summary: A one-page PDF outlining the problem you're addressing, the solution you've developed, and how GAI is involved.
Codebase: A GitHub repository containing all the code developed for your solution. Please make sure the repository is public or share access with the event organizers.
Demo Video: A 3 to 5-minute video demonstrating the functionality of your solution and explaining how it addresses the problem you've chosen. Please upload the video to YouTube or Vimeo and provide a link.
Presentation Slides: A slide deck summarizing your project, to be used during your presentation to the judges.
Data Sets and Resources: Any data sets, APIs, or third-party services used must be listed, and if applicable, links should be provided.
Team Members: List the names and roles of all team members involved in the project.
Contact Information: Provide a point of contact for further queries or follow-up.
Optional: Any additional materials like user manuals, screenshots, or supplementary videos can also be included to strengthen your submission.

Submission Deadline

All projects must be submitted by 3:00 PM on Saturday, October 28, 2023, to be considered for judging.

Hackathon Sponsors

Prizes

$15,250 in prizes

People Choise (2)

People's Choice Award
$1,000 total award to the teams that captivates the audience’s imagination.

1st Prize

This prize will consist of a fundsfor MVP prototype development to create a secure viable prototype that will be used in a real-world setting to validate the viability of the concept

2nd Prize

Second Prize
1 winner - $4,750 cash value

This prize will consist of a $750 cash Prize and $4000 for MVP prototype development to create a secure viable prototype that will be used in a real-world setting to validate the viability of the concept

3rd Prize

First Prize
1 winner - $500 cash value

This prize will consist of a $500 cash Prize and $4000 for MVP prototype development to create a secure viable prototype that will be used in a real-world setting to validate the viability of the concept