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ACS Hacks

devpostHosted on Devpost

Fetched about 5 hours ago

Wednesday, June 10, 2026

to Wednesday, June 10, 2026

Data ScienceWeb DevelopmentArtificial Intelligence
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

1

Participants

USD1,000

Prize Pool

0

Est. Projects

MAIN DESCRIPTION ACS Hacks is Assumption College Catholic High School’s first student-run hackathon. This one-day, in-person event brings students together to learn new skills, work in teams, and build creative technology projects. The event is designed to be beginner-friendly and welcoming. Whether you have coding experience or are joining your first hackathon, ACS Hacks is a place to explore programming, design, innovation, teamwork, and problem-solving in a supportive environment. Our goal is to make technology more accessible at Assumption and help students gain hands-on experience by building real projects and presenting their ideas to judges by the end of the event. Event Date: June 10, 2026 Event Time: 2:00 PM – 9:00 PM Location: Assumption College Catholic High School, Windsor, Ontario Format: In-person Eligibility: Assumption College Catholic High School students only.

Sponsors

Major League Hacker image

Major League Hacker

www.mlh.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