2023 AI for Good Hackathon
November 3 to 5, 2023
AI for Good is a 48-hour hackathon bringing together UNF student teams, and partners First Tee, AWS, CapTech, and NLP Logix to build solutions that drive social good benefits.
The hackathon was organized using Devpost. Follow the below Devpost link to view winners, judging criteria, rules, and schedule.
This hackathon has ended!
Hackathon Overview
Over the course of a weekend, UNF students collaborated to work on unique problems impacting youth development. Students were provided with the tools, support, and data needed so that they can write the code to right the world.
48
Hours
26
Students
8
Teams
Participating students received mentorship from AWS, NLP Logix, CapTech, First Tee, PGA Tour, and UNF experts. Participants were expected to use their skills in the problem domain, programming, data mining, machine learning, statistical analysis, and visualization techniques to solve the problem. Hackathon participants were expected to form a team with a maximum of three to work on the hackathon problems and datasets.
David Berglund, CEO of Itasca Labs, recorded and produced a video highlighting the hackathon event. LinkedIn post containing the video can be accessed at LinkedIn Post
Social Good Partner
First Tee provided two problem areas and relevant datasets for student teams to work during the hackathon.
First Tee is a youth development organization that enables kids to build the strength of character that empowers them through a lifetime of new challenges. By seamlessly integrating the game of golf with a life skills curriculum, First Tee creates active learning experiences that build inner strength, self-confidence, and resilience that kids can carry to everything they do.
Use Case #1: Engaging Youth
Enhancing Participant Retention in Ages 12 and Older.
Use Case #2: Equitable Expansion
Reaching Underserved and Underrepresented Communities.
Technology Partner
Amazon Web Services (AWS) provided access to necessary cloud services for participants to solve hackathon problems. Participants had access to the following AWS resources: QuickSight, Sagemaker Canvas, Glue Data Brew, S3, IAM, and Athena. AWS was the lead organizer for hackathon meetings, and covered the costs for drinks and snacks during the hackathon days.
Award Sponsors
NLP Logix is a custom artificial intelligence and machine-learning solutions provider that focuses on automating business processes across many industries. NLP Logix sponsored the first-place award.
CapTech is a technology consulting firm focused on defining and delivering what’s next for organizations. CapTech sponsored the second-place award.
Dr. Umapathy, Co-Director of FL-DSSG, sponsored the third-place award.
Hackathon Hosts
FL-DSSG led the planning and execution of hackathon event logistics. FL-DSSG covered food costs that occurred during the hackathon.
2023 AI4Good hackathon was hosted in building 15 at the University of North Florida. UNF School of Computing provided spaces and infrastructures for hosting the hackathon. UNF Information Technology Services assisted with setting up AWS cloud accounts for participants. UNF CIRT Video Tech assisted with microphones and speakers for presentations.
Schedule
- 4 PM
- Hackathon Kickoff, problem overview by First Tee, and technology review by AWS (Building 15 (Computing), Room 1304)
- 5 PM
- Hackathon starts and continues through the night (Building 15, Third Floor)
- 11 AM to 12 PM,
1 PM to 2 PM, &
7 PM to 8 PM - Mentor meetings (Building 15, Third Floor)
- 10 AM
- Stop hacking, submit the solution, and prepare for final presentation
- 11 AM
- Evaluation of code and solutions by AI experts from UNF
- 1 PM
- Hackathon team presentations (Building 15, Room 1304)
- 3:30 PM
- Award ceremony
Friday, November 3
[Dinner at 6 PM provided by hackathon]
Saturday, November 4
Full day of coding and hacking remainder of the day and through the night
[Breakfast at 9 AM, Lunch at noon, and Dinner at 6:30 PM provided by hackathon]
Sunday, November 5
[Breakfast at 9 AM and Lunch at noon provided by hackathon]
Winners
Gold Award
Use of N.E.A.T. AI to help place locations of First Tee into more underserved regions
by Hunter Ford
Silver Award
Building the optimal session plan to retain the most number of participants
by Marion Forrest, Aidan Doruska, and Aryan Gholinezhad
Bronze Award
A Tool for Predictive Participant Retention Analysis: Maximize retention with our tool that forecasts participant engagement trends using smart, data-driven analysis
by Michael Kimollo, Walid Kambagha, and Mark Nugent
Event Pictures
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First Place Award Winners
Hunter Ford
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Second Place Award Winners
Marion Forrest, Aidan Doruska, and Aryan Gholinezhad
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Third Place Award Winners
Michael Kimollo, Walid Kambagha, and Mark Nugent
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Hackathon Check-in
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AWS Hackathon Partnership
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UNF School of Computing Director
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UNF ITS at Kickoff Event
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First Tee Problem Cases overview
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Start Function Team
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Team Rocket
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Jaguars Team
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Qubitorio Team
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White Hats Team
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Ether Team
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Hackathon Judges
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visualization Mentoring
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Hackathon Organizer providing overview on presentation and judging
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Ether Team Presentation
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White Hats Team Presentation
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Computing Bear Team Presentation
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Rocket Team Presentation
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Star Function Team Presentation
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Jaguars Team Presentation
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Hackathon Teams Eating and Getting Mentored
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Hackathon Award Ceremony Group Picture
Judges
Matt Berseth
CIO and Co-Founder, NLP Logix
David Berglund
CEO, Itasca Labs
Drake Mosley
Project Manager, PGA TOUR
Daniel Brady
Senior Director, Salesforce Operations, First Tee
Michael Vitti
SVP, Data & Decision Science, PGA TOUR
Evaluation Criteria
Each participating team will be evaluated on their model performance and presentation of the results. Winners of the hackathon will be determined based on the below evaluation factor weightings and scores received.
Presentation (20%)
Model Performance (40%)
Solution Approach (40%)
Scoring Ratings
5 = Excellent presentation on all counts
4 = Very good presentation with minor issues
3 = Pitch can be significantly improved but is satisfactory overall
2 = Pitch is incomplete and severely lacking
1 = Presenter fails to address the criteria
Mentors
Katie Bakewell
NLP Logix
Harsha Nalla
NLP Logix
Michelle DeDeo
UNF Statistics
Indika Kahanda
UNF Computing
Spencer McIntosh
First Tee
Stephanie Cramer
CapTech
Wanyong Choi
UNF Sports Management
Dan Richard
UNF Psychology
Ayan Dutta
UNF Computing
Mike Manuele
AWS
Volunteers
Elizabeth De Costa
Grejsi Gjata
David Schineis
Tanner Dewit
Sam Gray
Tierra Watson
Amr Elfayoumy
Jeremiah Henderson
Alexa Zervos
Davien Garcia
Anastacia Magaliene