Page 43 - tech fest 2025 ב״ש חוברת תקצירים

AI System for Managing Tax Refunds
CS-A-07
Yair Betito; yairbe12@gmail.com Guy Krieger; guyno8@gmail.com
Advisors: Dr. Moshe Davidian1, Prof. Shlomo Greenberg1 1SCE - Shamoon College of Engineering, Be’er-Sheva
This project focused on developing an AI-based system that helps users check their eligibility for tax refunds. The system extracts data from the tax form 106 and presents it through a web interface. The project aimed to streamline the refund process and offer a reliable tool that promotes financial awareness and independence. Users can review the information, verify its accuracy, and receive feedback about potential refunds. The system was designed to be user-friendly and accessible, even to those with limited financial or technical background. One of the challenges was ensuring the accurate extraction of Hebrew text and numerical values from the form. The result helps to simplify tax handling through automation and accessible technology.
Keywords: AI-based tax refund system, financial technology, Hebrew text and numerical data extraction, tax automation and digitalization
Online Analysis of Ukrainian and Russian Mindsets during Ongoing War
CS-B-08
Yehonatan Ori; yonorii20@gmail.com Ohad Maymon; ohad7111@gmail.com Tal Gagulashvili; tgshvili98@gmail.com
Advisor: Dr. Aviad Elyashar
SCE - Shamoon College of Engineering, Be’er-Sheva
The ongoing conflict between Ukraine and Russia has profoundly influenced the populations of both nations. Analyzing their sentiments, beliefs, and attitudes from data on social media can offer valuable insights into their experiences, perceptions, and resilience. This project employed machine-learning tools for text analysis, user feature extraction, and sentiment tracking on X (formerly Twitter). Special attention was given to the distinct cultural, ethnic, and social dynamics in each population. The tools managed to identify patterns and trends that reflect the collective and individual states of mind during the conflict, shedding light on the human and societal impact of this prolonged crisis.
Keywords: conflict studies, multilingual discourse, natural language processing, sentiment analysis, social network analysis, Twitter analysis, Ukraine-Russia war
Book of Abstracts | 2025
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