Page 189 - tech fest 2025 ב״ש חוברת תקצירים

Book of Abstracts | 2025 Task Manager: AI-based Personal and Team Task Management System
SE-E-08
Ala Bargita; alabrgita10@gmail.com Ayman Omar; ayman.omar2013.ao@gmail.com
Advisor: Dr. Karim Abu-Affash
SCE - Shamoon College of Engineering, Be’er-Sheva
Effective time management is a critical challenge in modern life, affecting productivity and well-being. Task Manager is an AI-based mobile application designed to optimize time management for individuals and teams. The system leverages artificial intelligence to predict task completion times, prioritize tasks based on urgency and importance, and provide personalized recommendations. It includes performance tracking, real-time insights, and adaptive scheduling to enhance efficiency. The challenge was to integrate AI-based forecasting with a user-friendly interface while ensuring scalability and security. The prototype enables users to manage tasks effectively, improve productivity, and achieve a better work-life balance.
Keywords: ai, productivity, scheduling, task management, time optimization
Computer Technical Support System
SE-E-09
Mohamed Bokai; mohambo1@ac.sce.ac.il Rafeek Mhajne; rafeemh@ac.sce.ac.il
Advisor: Dr. Marina Litvak
SCE - Shamoon College of Engineering, Be’er-Sheva
This project develops an intelligent technical support system to enhance the customer experience in troubleshooting computer issues. The system guides users through a structured diagnostic process, distinguishing between hardware and software problems. Based on user input, it provides tailored solutions, including automated fixes. For complex cases, it directs users to a technical representative. By streamlining support, the system reduces the need for direct human intervention and speeds up issue resolution, saving time and resources for both customers and service providers. Ultimately, it delivers an innovative, efficient, and user-centric support experience that enhances customer satisfaction.
Keywords: ai-driven technical diagnostics, automation, customer experience, technical support, troubleshooting
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