July 6, 2022

Technion Computer Science Project Fair: Technology Serving Society

The Technion Computer Science Project Fair


On June 26, the Henry and Marilyn Taub Faculty of Computer Science held its Project Fair at the Technion, with the participation of dozens of undergraduate students. Diverse projects in a variety of fields were presented under the following categories: Internet of Things (IoT), Android applications, software engineering, and computer communications.

Voice control Project

Many of the projects at the fair – led by Itai Dabran and Tom Sofer of the Interdisciplinary Center for Smart Technologies (ICST) in computer science – utilize various technologies to benefit society, for example, a smart hospital bed that warns of the danger of falling off, a swimming prosthesis for amputees, a system for organizing clothes sold in second hand stores, a robot that solves a Rubik’s cube based on voice commands, a home monitoring app for air pollution, and apps to support various non-profits.

Smart hospital bed that warns of the danger of falling off

Elinor Ginzburg, a student who volunteered for a time in the Neurosurgery Department at Rambam Health Care Campus, learned that brain surgery and related treatments often cause blurring and confusion. As a result, patients sometimes try to climb over the bed railings and fall off. Together with Leon Kosarev and Tomer Ron, Elinor developed a system that provides medical staff with advance warning of such dangerous attempts.

Students Noor Shbat and Nawal Sheikh have developed a system that analyzes the performance of Olympic surfers and provides data analysis to help them win. The system is built on sensors and computerized analysis of the information received and operates even in places where there is no cellular reception. It was developed in collaboration with the Wingate Institute and the Faculty of Biomedical Engineering.

Students Nadav Kiri, Ben Shani, and Noa Rosenthal developed a smart prosthesis that helps amputees swim, using sensors that detect the position of the arm and a neural network that learns the user’s behavior.

Dina Alexandrovich, Racheli Chepovetsky, and Maya Stein developed an app that helps in the running of second-hand clothing stores. The app allows you to enter any incoming item into the system, to manage inventory and allow customers to easily find the clothes they want.


The Technion Social Hub, which specializes in research and education for technological involvement in the community, collaborated with the Interdisciplinary Center for Smart Technologies on five projects. They included: “Paamonim,” a system for managing employees at the social non-profit; an app that helps collect electronic equipment for recycling; a communication board that helps people with cerebral palsy; a support system for the “Women’s Courtyard,” a multicultural space for at-risk girls and women; and an IoT system to support the disabled and visually impaired at the Migdal-Or factory. This system was also incorporated into one of the students’ final projects as part of “Seeds of Innovation” in the Faculty of Industry and Management.

For the full list of projects: click here