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HackJPS 2026

devpostHosted on Devpost

Fetched about 1 month ago

Friday, May 29, 2026

to Monday, June 1, 2026

•

3 days long

Data ScienceArtificial IntelligenceWeb Development
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

online

127

Participants

11

Est. Projects

HackJPS is a hybrid (in person & virtual) hackathon hosted by students of John P. Stevens High School in Edison, NJ from May 29-30, 2026. This is the fifth iteration of the HackJPS program following successful hybrid and virtual events in 205, 2024, 2023 and 2020. Participation will be open to middle and high school students (aged 13+). Participants may have any level of experience, or none at all. We are welcoming to beginners and experts alike! Additionally, you will be able to attend in-person or virtual workshops hosted by sponsors or student organizations, exposing you to a multitude of other topics that might interest them or be relevant to your project. For more information and updates, make sure to join our Discord server and check out our website. Event Schedule: TBD. We are looking for judges! Sign up to be a judge by filling out this form.

Sponsors

Interview Cake image

Interview Cake

www.interviewcake.com

Incogni image

Incogni

incogni.com

Appwrite image

Appwrite

NordPass image

NordPass

nordpass.com

Nexos.ai image

Nexos.ai

nexos.ai

NordVPN image

NordVPN

nordvpn.com

NordProtect image

NordProtect

nordprotect.com

Saily image

Saily

saily.com

AoPS image

AoPS

artofproblemsolving.com

Wolfram image

Wolfram

www.wolfram.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