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Innovate for Impact - NGM Group

devpostHosted on Devpost

Fetched 1 day ago

Monday, May 11, 2026

to Wednesday, May 13, 2026

•

1 day long

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

in person

84

Participants

7

Est. Projects

NGM Group is calling all innovators, technology trailblazers, and out of the box thinkers... to join the NGM Group 'Innovate for Impact' Hackathon, to be held at NEX on 12 and 13 May.

Innovate for Impact aims to bring together university students who have the option of teaming up with our technology experts to tackle a real-world challenge for our Charitable Foundation Partners.

👉 Register here!

EVENT DETAILS
Date: Tuesday 12 May & Wednesday 13 May 2026
Location: NEX, 309 King St, Newcastle West

Who can join?

  • University and TAFE students
  • Beginners to advanced coders, marketers, or anyone interested in participating
  • All skills and levels welcome!

How to register?

  • Registration is free - click here to secure your spot
  • Don't miss your chance to innovate, learn, and make an impact
  • Spaces are limited, so register today.

We can't wait to see what ideas you bring to life - Register now!

Sponsors

HealthWISE image

HealthWISE

healthwise.org.au

Dress for Success image

Dress for Success

www.dfsnswact.org.au

Lake Macquarie & Newcastle Suicide Prevention Network image

Lake Macquarie & Newcastle Suicide Prevention Network

www.connectedtocare.com.au

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