Page 28 - tech fest 2025 אשדוד חוברת תקצירים

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Augmented Reality Application for Museum Exhibits
CS-B-05
Idan Alashvili; idanal2@ac.sce.ac.il Omer Vazana; omerva3@ac.sce.ac.il
Advisors: Mr. Idan Tobis1, Prof Shlomo Greenberg1 1SCE - Shamoon College of Engineering, Ashdod
This project developed an augmented reality (AR) application for the Museum of Jewish Soldiers in WWII, to enhance visitor engagement by overlaying interactive digital content onto physical exhibits. Using a mobile device or tablet, visitors can scan exhibits to access historical context, related documents, and 3D models of artifacts like uniforms and weapons. The application also includes a five- minute pre-tour video, introducing the museum and its significance. Built with ARKit/ARCore, Unity, and a Flask/Django back end, the application integrates cloud storage for multimedia content. This immersive experience deepens historical understanding and provides an educational tool that enriches the museum visit.
Keywords: augmented reality, museum, interactive experience, object recognition, mobile application
Phishing Email Detector
CS-B-06
Liav Elmakayes; liavel808080@gmail.com Yuval Snegur; yuvals00111@gmail.com
Advisors: Mr. Yossi Atias1, Prof. Shlomo Greenberg2 1CyberSecurity Entrepreneur
2SCE - Shamoon College of Engineering, Ashdod
This project focused on developing a system to detect phishing (fraudulent) emails by integrating open-source tools. Its goal was to analyze email messages and differentiate between legitimate emails and malicious ones intended to steal sensitive information. The system uses an open-source tool to examine email content, headers, and metadata, classifying emails as suspicious or safe. When detection is uncertain, an interactive chatbot engages the user with targeted questions. This approach created a flexible and adaptive system that continuously improves its classification accuracy through human feedback. The project incorporates cybersecurity principles, AI agents, and large language models (LLMs) to enhance phishing detection and raise user awareness.
Keywords: chatbot, cyber attacks, cybersecurity, email filtering, intelligent agents, open source, phishing, text data