Automation-Course/Automation_Course_2025B
Apr 2025 – Jun 2025
2 Months active
Languages Used
PythonC++
Technical Skills
Number ConversionScriptingArduinoEmbedded SystemsIoTMicrocontrollers
galbenza
PROFILE
Galbenza
Gal Benza developed three features for the Automation_Course_2025B repository, focusing on both software tooling and hardware integration. In Python, Gal built a command-line utility for binary-hexadecimal number conversion, streamlining course setup and providing students with accessible learning tools. Gal also organized and packaged course materials, ensuring cross-directory consistency and ease of use. Later, Gal designed and implemented an Arduino-based reaction time game, integrating LCD, LED, buzzer, servo, and LDR components to enable real-time feedback and data collection. Throughout, Gal demonstrated skills in C++, Python, embedded systems, and IoT, delivering robust, reusable modules without reported bugs during the period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
3
Lines of code
132
Activity Months2
Your Network
78 people
Work History
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 Monthly Summary:\n- Feature delivered: Arduino-based Reaction Time Game integrated with LCD display, LED, buzzer, servo, and an LDR. Includes ambient light check prior to start and real-time feedback via servo and buzzer for slow reactions.\n- Scope: Hardware-software integration module for the Automation_Course_2025B project, enabling hands-on learning and data collection for reaction-time experiments.\n- Impact: Provides a ready-to-run prototype that enhances student engagement, supports assessment of reaction-time metrics, and establishes a reusable template for future peripherals.\n- Tech/skills demonstrated: Embedded systems (Arduino), peripherals integration (LCD, LED, buzzer, servo, LDR), sensor input handling, environmental pre-checks, version control practices, and cross-disciplinary collaboration.\n- Overall note: No major bugs reported this period; work focused on feature delivery and module readiness for course use.
1 Commits • 1 Features
Jun 1, 2025June 2025 Monthly Summary:\n- Feature delivered: Arduino-based Reaction Time Game integrated with LCD display, LED, buzzer, servo, and an LDR. Includes ambient light check prior to start and real-time feedback via servo and buzzer for slow reactions.\n- Scope: Hardware-software integration module for the Automation_Course_2025B project, enabling hands-on learning and data collection for reaction-time experiments.\n- Impact: Provides a ready-to-run prototype that enhances student engagement, supports assessment of reaction-time metrics, and establishes a reusable template for future peripherals.\n- Tech/skills demonstrated: Embedded systems (Arduino), peripherals integration (LCD, LED, buzzer, servo, LDR), sensor input handling, environmental pre-checks, version control practices, and cross-disciplinary collaboration.\n- Overall note: No major bugs reported this period; work focused on feature delivery and module readiness for course use.
June 2025
April 2025
5 Commits • 2 Features
Apr 1, 2025Month: 2025-04 | Overview: Delivered two key features in Automation_Course_2025B and prepared comprehensive course materials, with strong emphasis on practical tooling and repository hygiene. No major bugs fixed this period; focus was on feature delivery and material organization. Impact: Provides students with a ready-to-use binary-hex conversion utility and accessible course deliverables, enhancing learning outcomes and reducing setup time. Skills demonstrated include Python CLI development, Git-driven collaboration, and cross-directory packaging for course materials.
April 2025
5 Commits • 2 Features
Apr 1, 2025Month: 2025-04 | Overview: Delivered two key features in Automation_Course_2025B and prepared comprehensive course materials, with strong emphasis on practical tooling and repository hygiene. No major bugs fixed this period; focus was on feature delivery and material organization. Impact: Provides students with a ready-to-use binary-hex conversion utility and accessible course deliverables, enhancing learning outcomes and reducing setup time. Skills demonstrated include Python CLI development, Git-driven collaboration, and cross-directory packaging for course materials.
Activity
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Quality Metrics
Correctness93.4%
Maintainability93.4%
Architecture93.4%
Performance93.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
ArduinoEmbedded SystemsIoTMicrocontrollersNumber ConversionScripting
Repositories Contributed To
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