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Tech for Social Good
Tech for Social Good is an 8-week global online hackathon bringing together students, developers, designers, scientists, and young professionals to build AI-powered tools that educate and inspire action against climate change.
Trusted by 30+ tech experts from the whole world
About the hackathon
Tech for Social Good is a premier 8-week global online hackathon uniting the next generation of changemakers - from students and early-career technologists to seasoned developers, designers, scientists, and climate advocates around a shared mission: building AI-powered solutions to combat climate change through education and action.
In an era where the climate crisis is one of humanity’s greatest challenges, this hackathon serves as a high-impact platform to harness the transformative potential of artificial intelligence for global good. Participants from over 100+ countries will collaborate remotely to prototype intelligent tools that raise awareness, foster behavior change, and democratize climate knowledge for young people and communities worldwide.
Whether you're a machine learning engineer, UI/UX designer, environmental scientist, policy enthusiast, or simply passionate about the planet, Tech for Social Good offers a unique opportunity to contribute meaningfully at the intersection of technology, education, and sustainability.
Teams will receive access to curated workshops, mentorship from leading experts in AI and climate science, and a collaborative online environment to refine their ideas. Final submissions will be evaluated by a distinguished international jury of 50+ experts representing academia, industry, and civil society.
The Challenge
Your mission: design and build a solution that uses artificial intelligence to empower learners — especially young people — to better understand the causes, consequences, and solutions to climate change. As climate literacy becomes a cornerstone of global sustainability, there is an urgent need for accessible, engaging, and data-driven educational tools. We invite participants to reimagine climate education through the lens of AI — developing intelligent, scalable, and inclusive solutions that spark curiosity, build scientific understanding, and drive informed action at every level of society.
Your solution must:
- Leverage artificial intelligence or machine learning in a meaningful way
- Focus on education, awareness, or behavior change around climate issues
- Prioritise inclusivity, accessibility, and global relevance
- Be ethically responsible, explainable, and transparent in its use of data and AI models
Who Can Join?
- Students (university or high school)
- Early-career professionals and startup teams
- Designers, developers, data scientists, researchers
- Anyone passionate about climate action and technology!
No prior AI experience is required – we’ll provide access to mentors, resources, and beginner-friendly tools.
AI for Climate Education
Hackathon Timeline
Each project will be evaluated out of 100 points:
Judging Criteria
Innovation (20): Is the idea creative and unique?
Impact (20): Does it address a real climate education challenge?
Technical Depth (20): Is AI used effectively?
UX & Design (15): Is the product usable and inclusive?
Feasibility (10): Could this realistically be deployed or scaled?
Presentation (10): Is the demo clear and compelling?
Team Effort (5): How well did the team collaborate and execute?
Projects
Winner Announcement
Winning Project:
Climate Consequence Atlas - “See it. Hear it. Learn.”
By: Marja, young climate activist from Finland 🇫🇮
In a world where climate change often feels distant or abstract, one project stood out for turning science into stories and data into understanding.
We are thrilled to announce Climate Consequence Atlas as the Winner of the 2025 Tech for Social Good Hackathon in the AI for Climate Education category.
Developed by Marja, a young climate activist from Finland, this powerful initiative uses artificial intelligence to create a global, interactive map of real climate events - floods, wildfires, droughts, and heatwaves - brought to life through short, contextualized videos. Each story is paired with accessible, age-appropriate lessons and localized action steps, helping youth connect global science with local reality.
The judges were deeply impressed by the project’s balance of technological innovation, educational clarity, and human impact. Using AI for speech-to-text transcription, translation, automated summarization, and content safety, the Atlas makes climate learning inclusive, multilingual, and globally accessible.
It demonstrates that the climate crisis is not a faraway phenomenon - it is happening here and now, and education is our most powerful tool to respond.
A global learning vision
The Climate Consequence Atlas invites learners to explore how communities around the world are experiencing and adapting to change. By seeing these realities, hearing the voices behind them, and learning what actions make a difference, the project transforms awareness into empathy and empathy into action.
Congratulations, Marja, for leading the way with creativity, compassion, and courage. Your work reminds us that young voices can shape global understanding and that storytelling, powered by AI, can move the world toward climate action.
Policy Lab: “Play Policymaker”
By: Team PolicyLab
An interactive role-playing simulator that puts students in the policymaker’s seat. Learners can draft their own climate policies - such as carbon taxes, reforestation incentives, or renewable subsidies and an AI models their social, economic, and environmental consequences in real time.
Policy Lab uses scenario generation, lightweight system-dynamics modeling, and explainable narratives to visualize how decisions ripple through societies. Students debate outcomes, discuss trade-offs, and learn the complex balance between growth, equity, and sustainability.
Pre-built lesson packs and multilingual support make it ideal for classrooms worldwide.
Educational Impact:
Builds systems thinking, civic literacy, and empathy for diverse stakeholder perspectives, turning abstract policy chalenges into tangible learning experiences.
StorySeed: AI-crafted Local Climate Comic Generator
By: Team AI masters
StorySeed turns local climate facts and personal anecdotes into vibrant, culturally-sensitive comic strips and illustrated stories for youth. Using AI-driven narrative generation and ethical image synthesis, it transforms user-submitted prompts, like “our town’s river drought” or “a family replanting mangroves” into four-panel comics with discussion questions for classrooms.
Each comic adapts to reading level, local idioms, and regional storytelling styles, supporting both digital and printable formats. Text-to-speech, low-res image options, and PDF export ensure access for low-bandwidth regions and offline schools.
Educational Impact:
Combines narrative learning and visual storytelling to build emotional engagement, retention, and cultural ownership of climate narratives.
Note from the Organizers
All project authors requested that we do not showcase the full prototypes publicly at this stage, as they continue to develop their ideas beyond the hackathon and explore future opportunities. However, you can still enjoy a few inspiring screenshots from their demo sessions - a glimpse into the creativity, purpose, and impact behind their work. 🌱✨
Meet Our Global Judges
Nisarg Shah
AI/ML Product Manager at Meta
Jeet Mehta
SDE at Netflix
Tim Raupach
Product Manager at Google
Jeyhun Hagverdiyev
Business Data Analyst at Kapital Bank
Srinivasa R. Atta
Staff Solutions Consultant at Google
Kartik Venkataraman
Software Development Engineer II, Amazon.com Inc.
Goutham Bandapati
Cloud Solutions Architect at Microsoft
Manu Misra
Principal Software Engineer at Walmart Global Technologies
Lalo Gonzalez
Senior User Researcher and Product Designer
Jasanup Singh Randhawa
Senior Software Engineer at Meta
Belall Omar
ML Engineer at Suez Canal University
Pavlo Martinovych
Senior Product Manager at UPTIQ
Ziyu (Martin) Wang
Data Scientist at Meta
Arina Lopatina
Senior Product Designer at Taxfix
Bright Ojo
Project Management Professional
Heartwin Haveluck
AI Specialist
Alexandr Dergunov
Software Engineer at Meta
Jyoti Shah
Director of Application Development at ADP
Praneetha Kotla
Lead Robotic Process Automation Developer at Johnson & Johnson
Ashwini Joshi
Machine Learning Engineer at Warner Bros. Discovery
Sandeep Shivam
Associate Director of Product Management at Tavant
Kacper Michalik
Software Engineer at Screen Studio
Igor Kanyuka
Software Engineer at Meta
Ali Abubakar
Senior Software Engineer at Per Diem
Surya Bhaskar Reddy Karri
Staff Software Engineer
Heydər Rzayev
Senior Software Engineer
Anuja Agrawal
Senior Staff Engineering Manager at Google
MENTORS
Mentorship & Support
Throughout the hackathon, you’ll have access to:
Daily Office Hours with expert mentors
One-on-One Lightning Mentoring via Calendly
Live Workshops on AI, data, climate tech, UX, and storytelling
Mentor
Bright Ojo, FNIPES
Project Management Professional
Social Media
Mentor
Ankush Tyagi
Software Engineering Manager
Social Media
Mentor
Arina Lopatina
Senior Product Designer
Social Media
Mentor
Tim Raupach
Product Expert
Social Media
Mentor
Ziyu (Martin) Wang
Data Expert
Social Media
FAQ
Frequently Asked Question
Who can participate?
Students, early-career professionals, researchers, designers, developers, or anyone passionate about using tech for social good. All skill levels are welcome.
Is there a fee to join?
No, participation is completely free.
Can I join solo or do I need a team?
You can join as an individual and form or join a team during the first few days via Slack.
How many people per team?
We recommend 2–5 people per team.
Do I need AI experience?
Not at all. We’ll provide beginner-friendly workshops, templates, and mentorship support.
What tools and platforms will we use?
We’ll use:
Slack for all communications
Zoom for events
Google Forms or Devpost for submissions
Calendly for booking mentor sessions
Slack for all communications
Zoom for events
Google Forms or Devpost for submissions
Calendly for booking mentor sessions
How will submissions work?
Each team submits:
A 3-minute demo video
A 1-page PDF overview (problem, solution, AI use, impact)
A 3-minute demo video
A 1-page PDF overview (problem, solution, AI use, impact)
How will projects be judged?
Judges from AI, business, design, and data fields will evaluate projects based on innovation, impact, feasibility, and execution.
Will there be prizes?
Yes! Details on prize tiers can be found below
What if I have more questions or need help?
You can ask in the #help channel on Slack or email us at hackathon@ai4climate.tech
Use DevPost and form below to submit your projects
Register your team or as an individual
Register your team or as an individual
Register your team or as an individual
Register your team or as an individual