The research is a collaboration with the “Final Project” course of the Faculty of Industrial Engineering and Management, Technion. The goal of this study was to develop a machine learning tool for recognizing a household under risk. the study developed social parameters for risk and converted them to function as a new algorithm. The endpoint of this research was to develop a user-interactive web interface for predicting the future outcome of urban management decision-making.
Project took place at the Faculty of Industrial Engineering and Management, Technion, for 4th-year final project data science students.
Tool development: Dana Segal, Tal Sapir, Gal Ohana, Yuval Hay-Hirsh, Niv Shtaif
Tutoring: Batel Yossef Ravid and Meirav Ahron Gutman with Prof. Assaf Avrahami