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✰ LIVE AI Ivy Plus 2025

devpostHosted on Devpost

Fetched 3 months ago

Saturday, February 22, 2025

to Sunday, February 23, 2025

•

2 days long

Artificial IntelligenceBlockchainFintechMachine Learning
Student only
This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.

Event Type

in person

409

Participants

$109,900

Prize Pool

36

Est. Projects

About the challenge Welcome to LIVE AI Ivy Plus 2025, the Harvard-Duke AI / ML Hybrid Global Hackathon jointly hosted at Duke University and Harvard University on 2025 February 21 - 23! Both LIVE AI Duke and LIVE AI Harvard will provide full in-person hackathon experiences, and all three communities will have many opportunities to connect and interact. On February 23 (Sunday), onsite participants will present their products to our judges, who will award onsite prizes that afternoon. Afterwards, our global judges will evaluate all submitted pitch videos and code bases from February 23 until March 8, when we will award the global prizes. Our themes are artificial intelligence, blockchain / web3, and financial technology. Get started 1️⃣ Register on this Devpost to submit your products. 2️⃣ Apply to LIVE AI Ivy Plus 2025 at https://forms.gle/o466Mohw4zFeJmmi8. 3️⃣ Join our Discord (https://discord.gg/KYKMQfbzAF) and check out our Participants Handbook. Other Events ✰ LIVE AI Ivy Plus 2024 (2024 March 23 - 24) @ Duke + Harvard ✰ LIVE AI Lone Star 2025 (2025 June 6 - June 8) @ Google Austin + BankSocial (Dallas) + Rice ✰ LIVE AI Best Coast 2025 (2025 November 7 - 9) @ Stanford + Berkeley + UCLA + UCSD ✰ LIVE AI Ivy Plus 2026 (2026 February 20 - 22) @ Columbia + Cornell + Duke + Harvard + MIT.

Sponsors

NextGen Coders Academy image

NextGen Coders Academy

nextgencodersacademy.com

ResumeGuru.io image

ResumeGuru.io

resumeguru.io

Zero One image

Zero One

zeroone.com

HOST CAMPUSES (1200 x 600) image

HOST CAMPUSES (1200 x 600)

Harvard University image

Harvard University

harvard.edu

AI Frontier Network image

AI Frontier Network

aifn.co

SuperAI image

SuperAI

superai.com

Scrip Ledger image

Scrip Ledger

scripledger.com

AI Connex image

AI Connex

aiconnex.ai

Converge Accelerator image

Converge Accelerator

letsconverge.org

Tech Tree Root image

Tech Tree Root

AT&T image

AT&T

www.att.com

Universal AI University image

Universal AI University

universalai.in

BankSocial image

BankSocial

banksocial.io

VC Arena image

VC Arena

venturearena.org

Frost & Sullivan image

Frost & Sullivan

frost.com

Yottatrend image

Yottatrend

yottatrend.com

Duke Applied Machine Learning image

Duke Applied Machine Learning

linkedin.com

Texas AI Association image

Texas AI Association

texasaiassociation.org

UCLA InnoMED image

UCLA InnoMED

Duke University image

Duke University

duke.edu

SEQENS image

SEQENS

seqens.com

Harvard Undergraduate Open Data Project image

Harvard Undergraduate Open Data Project

hodp.org

Ivis image

Ivis

ivis.com

ORGANIZING HOSTS (1200 x 600) image

ORGANIZING HOSTS (1200 x 600)

Chymira image

Chymira

miriamreza.com

AFFILIATE CAMPUS (1200 x 600) image

AFFILIATE CAMPUS (1200 x 600)

Google Cloud image

Google Cloud

cloud.google.com

Judge Accessibility

Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10

Top signals

Organizer email available
Student-run event
Actively looking for judges

Organizers

Alex Johnson

alex@example.org

Jamie Rivera

jamie@example.org

Sam Chen

sam@example.org

Estimated Audience

Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech

Technical Focus

AI95%
Web80%
Mobile25%

Industries

Healthcare
Education
Climate

Technologies

Python
React
OpenAI

Why this estimate

  • • Hosted by a university
  • • Open to students
  • • MLH member event

Estimate inferred from event metadata, not actual attendee data.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct