Page 99 - tech fest 2025 ב״ש חוברת תקצירים

Book of Abstracts | 2025 Developing an Indicator That Tracks Sentiment in the Israeli Real Estate Market
IEM-A-07
Yosi Mirel; yosefmi@sce.ac.il
Advisor: Dr. Elroi Hadad
SCE - Shamoon College of Engineering, Be’er-Sheva
This project develops a sentiment indicator for the Israeli housing market using “Google Trends” data for real estate-related search terms. The indicator reflects public interest and sentiment, and was statistically tested against housing price trends and transaction volumes. A Pearson Correlation analysis showed a moderate-to-strong relationship between the sentiment index and real estate price fluctuations, indicating that search behavior anticipates market dynamics. Additionally, descriptive analytics and time-series visualizations revealed patterns of sentiment shifts prior to major market movements. These findings suggest that the sentiment index is not only a reflection of current market perception, but also a potential predictive tool for future market behavior. This contributes a novel, data-driven layer of insight for policymakers and investors.
Keywords: data analysis, “Google Trends,” machine learning, natural language processing, real estate, sentiment analysis
Improving and Optimizing the Production Process and Reducing the Rate of Defective Products in the Production Lines of “Gilit Bakery”
IEM-A-08
Raz Martziano; martzra@sce.ac.il Lior Mordo; liormo1@sce.ac.il
Advisor: Ms. Nofar Raviv
SCE - Shamoon College of Engineering, Be’er-Sheva
This project was conducted in the Production Department of “Gilit Bakery.” First, we analyzed the current production process and reviewed professional literature to identify recommended methods for improving production processes and quality control. We performed sampling to estimate the rate of defective products and examined the main causes of defects. We measured the time required to produce a single unit using work sampling and proposed improvements to the quality control process, including the implementation of control charts. Additionally, we used forecasting models to plan future demand and proposed an adapted inventory policy. We conducted simulations to compare the current and proposed production processes, evaluating the potential for improvements. Implementing our suggested changes is expected to enhance efficiency, reduce the rate of defective products and result in significant annual savings.
Keywords: defect reduction, forecasting, inventory management, production optimization, quality control, simulations, work-study
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