Page 47 - tech fest 2025 ב״ש חוברת תקצירים

VISTA - Visual Identification of Significant Travel Attractions
CS-C-15
Nir Barsheshet; nirbar2067@gmail.com Fadi Andrawis; fadi9844@gmail.com
Advisor: Dr. Aviad Elyashar
SCE - Shamoon College of Engineering, Be’er-Sheva
Social media platforms influence tourists’ decisions by presenting visitor experiences and authentic visual content. A common way to discover destinations is through location-based hashtags. However, these can misrepresent tourist sites, making it difficult for travelers to find reliable information. To address this problem, Dr. Aviad Elyashar (SCE) and Abigail Paradise-Vit (Max Stern Yezreel Valley College) developed VISTA – Visual Identification of Significant Travel Attractions, a smart classifier that uses active deep machine learning to distinguish between images related vs. unrelated to tourism. Our project built a website to demonstrate the classifier’s capabilities, enabling users to upload and analyze images, providing visual feedback on the results, and making the tool accessible to a wide audience.
Keywords: active learning, deep learning, image classification, social media, tourism, visual analysis, web application
Algorithm to Solve the Einstein Equations and Model Gravitational Waves
CS-C-16
Adi Revah; adirevach@icloud.com Amit Kalaf; amoskalaf@gmail.com
Advisor: Dr. Jeremy Miller
SCE - Shamoon College of Engineering, Be’er-Sheva
The goals of this project were two-fold. The first was to solve the Einstein Equations for a system of two black holes in a circular orbit around each other, in order to simulate their gravitational waves (GWs). The second was to calculate the time needed for the black holes to merge. We focused on the special case of an extreme-mass-ratio inspiral (EMRI), where one black hole is orders of magnitude bigger than the other. The equations for an EMRI system are easier to solve, because most terms in the Equations vanish. Our solution to the Equations described the shape of the GWs generated by the system, which provide added information about the black hole(s).
Keywords: black holes, EMRI, general relativity, gravitational waves
Book of Abstracts | 2025
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