20.10Hack for Humanity · Results
On 20 October, 35 builders spent an evening at Asper Innovation Center building AI for the natural disasters our region faces. Here are the teams the judges picked out, and a poster for every team to share.
Don't see your name, on the wrong team, or your photo isn't up yet? Contact the organizers and we'll update it.
First place · Hack for Humanity
Team 1 · Earthquakes
An offline SOS system: phones, Raspberry Pi hubs and LoRa relay rescue reports to emergency services when networks are down.
The winning team will be featured across The AI Collective's global network.
02Special awards
Four judges scored every team on six criteria, 1 to 5 each. Each card shows the team's average out of 30, and each award goes to the team the judges rated highest on that criterion, after the winner. Send a heart to the projects you liked.
Don't see yourself, or listed on the wrong team? Contact the organizers and we'll add or move you, and add your team photo.
Contact the organizersSpecial award
Quake Away
20.25 / 30
Team 8 · Earthquakes
An AI checklist to help families prepare for earthquakes, and a Waze for disasters that turns live videos into a damage map and the safest route.
A real need in the crisis, with clear people who benefit.
Special award
Common Ground
24.25 / 30
Team 7 · Earthquakes
An offline AI app that turns community centres into survival hubs, matching residents' needs with skills and resources until rescue arrives.
The furthest anyone got in three hours.
Special award
Green Chain
19.75 / 30
Team 3 · Air quality
Makes the hidden air pollution in a product's supply chain visible, so people can choose to cut it.
Could be piloted here, with local context, privacy and failure modes thought through.
Special award
EmberGuard
24.25 / 30
Team 5 · Wildfires
Predicts fires with AI, detects them in seconds with smoke sensors, and maps how they will spread.
A clear story, a good demo and strong answers in Q&A.
Special shoutout
Better Be'er
18.75 / 30
Team 2 · Water crises
An AI app that detects and traces the source of pollution in groundwater wells, and alerts authorities before the water becomes unsafe to drink.
Strongest on problem & impact.
Special shoutout
Aerolens
18.00 / 30
Team Aerolens · Air quality
Turns existing security and traffic cameras into a real-time air quality monitor.
Strongest on feasibility & responsibility.
Special shoutout
Flood Safe AI
13.50 / 30
Team 4 · Water crises
Scores locations by flood, sewage and pipe exposure, to show where water sampling should happen first.
Strongest on problem & impact.
04Thank you
Thank you to the judges, the mentors, our partners at the Hebrew University of Jerusalem, ASPER-HUJI Innovate and The Medium, and every builder who spent the evening on AI for wildfires, water, air, earthquakes and droughts.
