The winning team of Daniel Vofchuk, David Zimberknopf and Daniel Grunberger
The winning team of Daniel Vofchuk, David Zimberknopf and Daniel GrunbergerMichael Erenburg

Over 80 male Jerusalem College of Technology students from Israel and 23 other countries gathered at the college’s Machon Lev campus and worked around the clock from Wednesday evening through Friday morning last week as part of the its 3rd annual Great Minds hackathon.

The winning team, consisting of Brazilians Daniel Vofchuk, David Zimberknopf and Daniel Grunberger, won a 3,000 shekel ($839) prize for their life-saving solution to a challenge presented by Magen David Adom (MDA), designed to eliminate human error when checking crucial inventory on ambulances before they are sent out. Having to use a paper checklist of well over 100 items, everyday MDA personnel must check inside the ambulance manually, allowing important devices and medications to get left behind when the ambulances dispatch.

Around the world, instances arise when ambulances arrive at places without critical lifesaving equipment like oxygen, a defibrillator batteries, or even needles. The winning solution developed an app where sensors installed in the ambulance will be able to identify necessary items and communicate with a tablet on board to notify if something is missing.

“In addition to a student at JCT, I am also an EMT volunteer for Magen David Adom, so this challenge really spoke to me personally and I knew the problem first-hand,” said Vofchuk. “At this hackathon, I was able to put my high-level studies of engineering at JCT into practice, together with my knowledge as an EMT, to hopefully save lives and help more people.”

“We are so excited to work with these students. They have great questions and are very creative – both the international students and the Israeli students,” said Matanya Frankel, one of the mentors from Magen David Adom who worked with the students throughout the hackathon.

Prizes for second and third place at the hackathon were given to solutions in machine learning to identify online anti-Semitism and take action, while other challenges included a solution involving video analytics and machine learning to identify road accidents in real-time and alert emergency services, an at-home training device for MDA medics, and a solution for soldiers with PTSD to provide improved therapy.

“At JCT, we started doing hackathons on campus in order to enable our students to take what they learn in their engineering, business, and nursing courses and then create,” said Orlee Gutman, Director of Strategic Partnerships at JCT. “What we find each year is that what appeals to our students are challenges that save lives and are critical to the well-being of the community, and we couldn’t be prouder of them. In addition to the means, we also provide them a platform to take the prototypes they create and develop them into products ready for market, so they can see their ideas truly make an impact.”

JCT students with Magen David Adom
JCT students with Magen David AdomMichael Erenburg
JCT student working on Magen David Adom training device
JCT student working on Magen David Adom training device