Tech for Social Good is a premier 8-week global online hackathon uniting thenext generation of changemakers - from students and early-careertechnologists to seasoned developers, designers, scientists, and climateadvocates around a shared mission: building AI-powered solutions tocombat climate change through education and action. In an era where theclimate crisis is one of humanity’s greatest challenges, this hackathon servesas a high-impact platform to harness the transformative potential of artificialintelligence for global good. 

 

Participants from over 100+ countries willcollaborate remotely to prototype intelligent tools that raise awareness, fosterbehavior change, and democratize climate knowledge for young people andcommunities worldwide. Whether you're a machine learning engineer, UI/UXdesigner, environmental scientist, policy enthusiast, or simply passionateabout the planet, Tech for Social Good offers a unique opportunity tocontribute meaningfully at the intersection of technology, education, andsustainability. 

 

Teams will receive access to curated workshops, mentorshipfrom leading experts in AI and climate science, and a collaborative onlineenvironment to refine their ideas. Final submissions will be evaluated by adistinguished international jury of 50+ experts representing academia,industry, and civil society.

Requirements

The Challenge

Your mission: Design and build an AI-powered solution that helps learners — especially young people — understand, engage with, and act on climate change.

As climate literacy becomes essential to addressing the climate crisis, the world needs accessible, engaging, and data-driven educational tools that reach people where they are — from classrooms to mobile devices, and from rural communities to urban centers.

We invite you to reimagine climate education through the lens of artificial intelligence by developing intelligent, scalable, and inclusive solutions that:

  • Spark curiosity about environmental science and sustainability

  • Build understanding of the causes, consequences, and interconnected systems driving climate change

  • Empower informed action by showing users how their daily decisions impact the planet

  • Reach underserved communities by overcoming barriers of language, access, or technical literacy

Your solution could be a game, simulator, chatbot tutor, interactive dashboard, storytelling app, or data-driven visualization — as long as it meaningfully integrates AI to deliver a unique and measurable learning experience.

📦 Submission Requirements

Each team must submit the following:

  1. 3-Minute Demo Video

    • Show your solution in action: main features, AI functionality, and user experience.

    • Clearly communicate your project’s purpose, audience, and value.

  2. 1-Page PDF Overview (max 500 words)
    Include:

    • Problem: What specific challenge in climate education are you addressing?

    • Solution: How does your tool work?

    • AI Integration: What AI methods or models are you using? How do they enhance the solution?

    • Impact: Who benefits from this tool, and how will it create measurable change?

  3. (Optional but Encouraged) Share photos of you working on your project.

Hackathon Sponsors

Prizes

€2,000 in prizes
Winner
€1,000 in cash
2 winners

for the third place, we'd like to offer a career call with a MAANG expert

Devpost Achievements

Submitting to this hackathon could earn you:

Judges

Ashwini Joshi

Ashwini Joshi
Software Engineer (ML/AI) at Warner Bros. Discovery

Nisarg Shah

Nisarg Shah
AI/ML Product Manager at Meta

Bright Ojo

Bright Ojo
Project Manager

Belall Omar

Belall Omar
Machine learning Engineer

Surya Karri

Surya Karri
Staff Software Engineer at Pinterest

Judging Criteria

  • Innovation
    Innovation (20): Is the idea creative and unique?
  • Impact
    Impact (20): Does it address a real climate education challenge?
  • Technical Depth
    Technical Depth (20): Is AI used effectively?
  • UX & Design
    UX & Design (15): Is the product usable and inclusive?
  • Feasibility
    Feasibility (10): Could this realistically be deployed or scaled?
  • Presentation
    Presentation (10): Is the demo clear and compelling?
  • Team Effort
    Team Effort (5): How well did the team collaborate and execute?

Questions? Email the hackathon manager

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