Cover Image for AI4Good Hackathon - Two Days. One Goal. Building for Nonprofits.
Cover Image for AI4Good Hackathon - Two Days. One Goal. Building for Nonprofits.
113 Went

AI4Good Hackathon - Two Days. One Goal. Building for Nonprofits.

Hosted by TUM Social AI Club, TUM.ai Luma & Lara
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About Event

​AI for Good Hackathon – Africa Edition
NamibAI × TUM Social AI Club × TUM.ai

​📅 June 27–28, 2026 | TUM Munich
🕘 Start: Saturday, 9:00 AM · End: Sunday, ~4:00 PM

​What awaits you

​At Munich's first and largest AI for Good Hackathon, you won't be solving theoretical case studies, but real-world challenges faced by internationally active non-profits working across Africa. Over one weekend, you and your interdisciplinary team will develop a concept with impact that goes far beyond the hackathon itself, across areas like migration & refugee support, animal protection, development work, and better education in developing countries.

​The ideas of the best teams will be implemented and flow directly into the daily work of the non-profits. As a winner, you will also be invited to an exclusive follow-up event.

​No prior experience required. You will get exclusive, free access to the latest AI tools from our partners: models and APIs from OpenAI, and AWS infrastructure, and the app-building platform Lovable, allowing you to turn your ideas into reality in no time.

​Speakers include

  • ​Dr. Fabian Mehring, Bavarian Minister of Digital Affairs

  • ​Prof. Dr. Daniel Cremers, Chair for Computer Vision & AI, TUM

  • ​Daniel Togun, Senior Privacy Engineer, Google

  • ​Matt Bender, AI Consultant, World Food Programme

​Who is it for?

​Students of Computer Science, Economics/Business Administration, Law, Political Science, Social Sciences, and related disciplines. Interdisciplinary teams are highly encouraged, and we are especially excited to welcome participants from non-technical backgrounds who want to learn how to build with AI.

​🌍 Let's shape AI together to create real impact.

Location
Technical University of Munich
Arcisstraße 21, 80333 München, Germany
113 Went