
Shahar Klein developed two features for the Automation-Course/Automation_Course_2025A repository, focusing on embedded systems and IoT using C++ and Arduino. First, Shahar packaged and documented group project submissions, introducing binary artifacts and structured repository organization to streamline grading and feedback. Next, Shahar built an Arduino-based environmental monitoring and control system prototype that integrates light, gas, and distance sensors with an LCD, servo, and buzzer. The system responds automatically to environmental changes, adjusting outputs and providing real-time feedback. Throughout both projects, Shahar emphasized reproducibility, traceable commits, and clear documentation, demonstrating disciplined engineering practices and effective sensor integration.

Month: 2025-01 — Delivered an Arduino-based Environmental Monitoring and Control System prototype for Automation_Course_2025A. It integrates light, gas, and distance sensors with an LCD display, a servo actuator, and a buzzer. Activated by a button, it automatically responds to environmental conditions by adjusting LED brightness, controlling a servo, and sounding an alarm for high gas levels, enabling proactive monitoring and automated control. This work establishes a foundation for demonstrations and future deployments in course materials.
Month: 2025-01 — Delivered an Arduino-based Environmental Monitoring and Control System prototype for Automation_Course_2025A. It integrates light, gas, and distance sensors with an LCD display, a servo actuator, and a buzzer. Activated by a button, it automatically responds to environmental conditions by adjusting LED brightness, controlling a servo, and sounding an alarm for high gas levels, enabling proactive monitoring and automated control. This work establishes a foundation for demonstrations and future deployments in course materials.
In December 2024, delivered a focused package for student group submissions in Automation-Course/Automation_Course_2025A. Implemented the Project Submission Files Added feature, introducing binary submission artifacts (main project file and readme for Exercise 2, Group 7). The work is backed by a traceable commit (1debe47a3d6dabbdf13da32fc08b5a66858ca406). No major bugs reported this month; maintenance centered on feature enablement and documentation. This delivers clearer grading artifacts, reduces submission errors, and accelerates feedback cycles. Technologies and skills demonstrated include structured repository organization, binary artifact handling, explicit documentation, and disciplined commit practices that support reproducibility and auditability for course workflows.
In December 2024, delivered a focused package for student group submissions in Automation-Course/Automation_Course_2025A. Implemented the Project Submission Files Added feature, introducing binary submission artifacts (main project file and readme for Exercise 2, Group 7). The work is backed by a traceable commit (1debe47a3d6dabbdf13da32fc08b5a66858ca406). No major bugs reported this month; maintenance centered on feature enablement and documentation. This delivers clearer grading artifacts, reduces submission errors, and accelerates feedback cycles. Technologies and skills demonstrated include structured repository organization, binary artifact handling, explicit documentation, and disciplined commit practices that support reproducibility and auditability for course workflows.
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