Page 49 - tech fest 2025 ב״ש חוברת תקצירים

AI-Powered Video Clip Generator
CS-C-19
Maya Tau; mayata@ac.sce.ac.il Daniel Sakhnovich; daniesa10@ac.sce.ac.il
Advisors: Mr. Idan Tobis1, Prof. Shlomo Greenberg1 1SCE - Shamoon College of Engineering, Be’er-Sheva
This project developed a program that allows users to input a text and select a celebrity from a predefined list. The program then generates a realistic video of the chosen celebrity saying the provided text. This system leverages cutting-edge text-to-speech (TTS) models and deep-fake technologies to produce both the audio and video components. The output generation focused on maintaining high realism in speech patterns, lip synchronization, and overall video quality.
Keywords: AI, deep-fake, lip synchronization, text-to-speech, voice conversion
Artificial Neural Networks for D-regions of Complex Structural Systems
CS-C-20
Michael Kupfer; michaelkulhs@gmail.com Idan Korach; idanko893@gmail.com Zohar Simchon; zoharsim2000@gmail.com
Advisors: Prof. Shlomo Greenberg1, Mr. Offri Rashti1 1SCE - Shamoon College of Engineering, Be’er-Sheva
This project explored the application of artificial neural networks (ANN) for analyzing D-regions in complex structural systems. The study focused on understanding discontinuity regions in structural engineering, particularly in the strut-and-tie model (STM). The project aimed to improve understanding of structural behavior in order to address challenges in load transfer, path analysis, and structural node interactions. By leveraging advanced neural network techniques, the research provided innovative approaches to analyzing complex structural components and their interconnections. Employing programming tools like Python and MATLAB enabled the development of more sophisticated analytical methods for structural engineering.
Keywords: AI, artificial neural networks, complex structural systems, D-regions, machine learning, structural analysis, strut-and-tie model
Book of Abstracts | 2025
49