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GatewayGS & The AEI Initiative: AI 4 Earth Hackathon

devpostHosted on Devpost

Fetched about 4 hours ago

Saturday, July 25, 2026

to Saturday, August 15, 2026

•

3 weeks long

Beginner FriendlyArtificial IntelligenceSocial Impact
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

75

Participants

$25

Prize Pool

6

Est. Projects

About the challenge

The AI 4 Earth Hackathon is an open-ended AI problem-solving challenge dedicated to our planet. Participants are free to identify a real-world environmental or sustainability problem of their choosing and design a solution using modern AI tools and techniques.

Rather than restricting teams to a narrow ecological theme, the event emphasizes:

  • Creative problem selection: Finding unique angles to address climate change, conservation, energy, or sustainability.

  • Practical, real-world impact: Building tools that can actually make a difference for the planet or local communities.

  • Thoughtful use of AI: Leveraging LLMs, APIs, automation, data analysis, or AI agents to tackle complex environmental datasets.

  • Clear articulation of why the solution matters: Explaining the environmental urgency behind your project.

Projects can span any domain within the green space (renewable energy, wildlife conservation, carbon tracking, sustainable agriculture, waste reduction, climate education, etc.), as long as AI plays a meaningful role in the solution.

Teams will be evaluated on problem clarity, technical implementation, innovation, and potential environmental impact.

Get started

  1. Form a team (or work solo).

  2. Identify an environmental problem you care about or have personally observed.

  3. Design and build an AI-powered solution using any tools or platforms you choose.

  4. Submit your project with a short explanation of the problem, solution, and AI usage.

No prior hackathon experience is required. This event is designed to be welcoming to beginners while still offering depth and challenge for experienced builders passionate about climate tech.

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