AI for the Built Environment Hackathon

- beginner-friendly
- in-person
- free
- team
singapore's building AI hackathon, half-day format, free, no coding required. work with a team (or find one there) on real built-environment challenges using Claude, ChatGPT, or Gemini. mentors from NUS and industry around all day, free food angle unclear but the rapid prototype vibe and genuine problem statements make it worth the trip. october 31.
the full listing
Build something useful for Singapore’s built environment — in half a day. Join us for a hands-on AI hackathon organised by the National University of Singapore, with support from Lorong AI, Google, the Building and Construction Authority (BCA), and industry partners. Participants will work in teams to tackle real-world challenge statements from the built environment, using today’s AI tools to rapidly turn ideas into working apps and prototypes. You are welcome to build with Claude, ChatGPT, Gemini, or other AI tools of your choice. Mentors from NUS and industry will be available throughout the build session to help teams scope ideas, troubleshoot, and turn concepts into demos. No coding background is required. The focus is on identifying a good problem, experimenting with AI, and building something that works. Who should join Students, researchers, industry practitioners, and anyone interested in applying AI to the built environment. Come with a team, or meet collaborators on the day. Schedule 10:00–10:30 — Registration 10:30–10:45 — Welcome + challenge statements 10:45–11:30 — Getting started with AI tools, vibe coding & rapid prototyping 11:30–13:45 — Build session with mentors from NUS and industry 13:45–14:00 — Finalise submissions & prepare demos 14:00–15:00 — Presentations, judging & networking What to bring - Your laptop - An account for at least one AI platform: ChatGPT, Claude, or Google/Gemini - Free accounts are perfectly fine - Curiosity and a willingness to build What you’ll do Work with your team to respond to a real-world challenge statement and turn your idea into a working prototype, app, workflow, or demo. The goal is not to build a perfect product in a few hours. It is to show how AI can be used creatively and practically to address real built-environment challenges.
source: Luma