AI Prompt-A-Thon 2024: Innovating Urban Health with AI
  • The AI Prompt-A-Thon 2024 unites innovators, AI enthusiasts, healthcare professionals, and non-profits.
  • Hosted by the Center for Augmenting Intelligence at the University of Detroit Mercy.
  • Participants tackle real-world Urban Health challenges using AI tools.
  • Focuses on creativity, collaboration, and technology for impactful solutions.
  • Over $50,000 in Gen AI Access code prizes for Institutions, Teams, and Individuals.

 

Event Schedule:

  • Friday, October 25, 2024 (In person): 6:00 PM – 8:00 PM: Welcome Reception & Keynote Address
  • Friday, October 25, 2024 (Online): 12:00 AM – 11:59 PM: Submission Finalization
  • Saturday, October 26, 2024 (In-Person): 9:00 AM – 10:00 AM: Opening Remarks 12:00 AM – 1:00 PM: Hackathon Challenge
  • Saturday, October 26, 2024 (Online Finals): 12:00 PM – 3:00 PM: Judging and Winner Selection

 

Requirements

Submission Requirements for AI Prompt-A-Thon 2024

Participants of the AI Prompt-A-Thon 2024 must submit their projects via the Devpost submission link. Below are the detailed submission requirements to ensure your entry is complete and eligible for judging:

What to Build:

Participants are required to develop an AI-driven solution that addresses one of the critical Urban Health challenges within the track they’ve selected.

TRACKS :

  • Track 1Text-to-Image Creation 

       Teams will create AI-generated images that address health awareness or visual educational content for urban health initiatives. This could involve creating posters, infographics, or visual aids to help improve health outcomes. 

  • Track 2Text-to-Image Creation 

       Teams and institutions will create AI generated videos to tackle public health challenges, healthcare education, and urban health issues through visual storytelling, interactive content, tutorials, information campaigns, and simulations aimed at enhancing health literacy in urban environments.

  • Track 3AI Chatbot Assistant Development 

Institutions may develop AI-powered chatbots designed to assist with healthcare access, public health guidance, or personalized medical advice for urban populations. 

***************************************************************************************************

Based on your category (Institution, Team, or Individual), here’s what you need to build:

  • INSTITUTIONS (NON-PROFIT PROJECTS):

    • Description: 

      Non-profits, healthcare, and academic entities should address Urban Health challenges with impactful AI-driven solutions. 

      Tracks Available for Submission: 

      • Track 2: AI-to-Video Production 
      • Track 3: AI Chatbot Assistant Development 

      Submission Criteria: 

  • Challenge Overview: Describe the Urban Health problem. 
  • Track Focus: Detail the AI solution (AI-to-Video or AI Chatbot). 
  • Impact & Feasibility: Highlight outcomes and scalability. 
  • Ethical Considerations: Address ethics, patient privacy, and bias.

                      ********

  • TEAMS:

    • Description: 

      This category promotes teamwork and AI-driven creativity in solving urban health challenges.

      Tracks Available for Submission: 

      • Track 1: Text-to-Image Creation 
      • Track 2: AI-to-Video Production 

      Submission Criteria: 

  • Team Collaboration: Describe team roles and contributions.
  • Track Solution: Explain your text-to-image or AI-to-video innovation. 
  • Impact: Discuss real-world Urban Health implementation. 
  • AI Execution: Highlight AI tools and technical complexity.

                    ********

  • INDIVIDUALS:

    • Description: 

      Individuals respond to Urban Health challenges by using AI to create impactful images, showcasing creativity, prompt design skills, and problem-solving.

      Track Available for Submission: 

      • Track 1: Text-to-Image Creation 

      Submission Criteria: 

  • Challenge Response: Select a Devpost challenge and submit a text-to-image solution. 
  • Prompt Design: Share AI prompts and reasons for their selection.
  • Creativity: Explain image originality and Urban Health message. 
  • Technical Proficiency: Highlight understanding of AI tools and models.
*************************************************************************************************** What to Submit:

Each submission must include the following components on Devpost:

  1. Project Title & Description:

    • Title your project clearly and describe the problem, AI tools used, and the impact on Urban Health.

  2. Track Selection:

    • Specify your Track and ensure your project follows the track rules for your category.
  3. Project Deliverables:

  • Track 1: Submit AI-generated images and prompt explanations.
  • Track 2: Submit a max 5-minute AI-generated/enhanced video. 
  • Track 3: Share a demo/link to the chatbot with examples.

**********************************************************************************************

  • Technical Documentation: Share relevant code, algorithms, and AI models used.

 

  •  Team Collaboration: Describe each team member’s role and collaboration. 

 

  • Video Presentation: Provide a 2-minute video explaining your project (optional).

 

  •  Ethical Considerations: Address ethical implications like bias, privacy, and equity.

 

Hackathon Sponsors

Prizes

$500 in prizes
Social Impacts
3 winners

• 3 Awards for the Social Impacts.
• Suggested breakdown:
o 1st Place: $2500
o 2nd Place: $1500
o 3rd Place: $1000

Individual Awards
3 winners

3 Major Awards recognizing exceptional individual contributions:
o 1st Place: $2,500
o 2nd Place: $1,500
o 3rd Place: $1,000

Team Awards
5 winners

• 5 Team Awards recognizing collaborative efforts.
• Suggested breakdown:
o 1st Place Team: $3,000
o 2nd Place Team: $2,500
o 3rd Place Team: $2,000
4th place Team: $1,500
5th place Team: $1,000

Impact Award
11 winners

11 participants will receive $500 each for noteworthy contributions.

AWS Credit
1 winner

AWS Credit
1. $500 value

Devpost Achievements

Submitting to this hackathon could earn you:

Judges

Vincent James

Vincent James
Chief Technology Officer - StudyAid

Dr. Phillip Olla

Dr. Phillip Olla
Executive Director (Center for Augmenting Intelligence) University of Detroit Mercy

Franz Salas

Franz Salas
Principal Account Lead - Amazon Web Services

Dr Stephen Bartol

Dr Stephen Bartol
MedAccess Solutions.

Deepak Bhaskaran

Deepak Bhaskaran
Sr Director of Engineering, at Cisco Systems Inc,

Dr Vidhya Elango

Dr Vidhya Elango
Ophthalmologist

Rachita Naik

Rachita Naik
Machine Learning (ML) Engineer - Lyft

Vishwasrao Salunkhe

Vishwasrao Salunkhe
Senior Product Software Engineer Clinical Effectiveness Engineering & Technology, Wolters Kluwer

Anurag Bhagat

Anurag Bhagat
Senior Strategist, GenAI Innovation Center, AWS.

Venkata Sai Manoj Pasupuleti

Venkata Sai Manoj Pasupuleti
Lead Software Engineer/Architect at Apple in the USA

Mina Maleki

Mina Maleki
UDM Assistant Professor Computer Science

Avishek Mukherjee, Ph.D.

Avishek Mukherjee, Ph.D.
Associate Professor of Computer Science University of Detroit Mercy

Nilesh Jain

Nilesh Jain
Engineering Lead at Oracle America

Tejas Tumakuru Ashok

Tejas Tumakuru Ashok
Data Scientist | Wyndham Destinations

Judging Criteria

  • Judging Criteria
    1.Register to secure your spot and request your Study AI GenAI Key. 2.Compete on October 26 and submit your solutions to tackle real-world urban health challenges!

Questions? Email the hackathon manager

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