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CS-A-01
Daniel Cohen; danielco0000@gmail.com Gal Elhiani; galelhiani@gmail.com
Advisor: Dr. Dvir Ross
SCE - Shamoon College of Engineering, Ashdod
This project developed a Unity-based game integrating reinforcement learning. Inspired by OpenAI’s "Hide and Seek," the game is based on "Tag" where players are enclosed in defined areas. Different versions determine whether the invader or the invaded player is eliminated. The project focused on (1) optimizing gameplay using genetic algorithms, (2) implementing adaptive AI that learns from the experience of playing the game, and (3) testing virtual reality to assess its impact on spatial awareness. The findings can contribute to AI research and military training simulations.
Keywords: adaptive AI, game simulation, genetic algorithms, pattern recognition, reinforcement learning, unity, virtual reality
Intelligent Document Scanning and Historical Analysis System for WWII Archives
CS-A-02
Matan Mezamer Tov; matan.m.t@gmail.com Shay Pahima; shphm4668@gmail.com
Advisors: Mr. Idan Tobis1, Prof. Shlomo Greenberg1 1SCE - Shamoon College of Engineering, Ashdod
This project focused on building a system to help the Museum of Jewish Soldiers in WWII scan, organize, and explore its historical archives. The system digitized documents and photos, recognized printed or handwritten text, and automatically identified key details such as names, dates, places, and military units. It helped organize the materials in meaningful ways to reveal connections between people and events. The goal was to make the archive more searchable, understandable, and accessible—for both researchers and the general public—while preserving valuable historical records for future generations.
Keywords: archives, digital preservation, document scanning, historical research, Jewish soldiers, text recognition, WWII





















































































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