Automation-Course/Automation_Course_2025B
Apr 2025 – Jun 2025
2 Months active
Languages Used
JavaC++
Technical Skills
Command Line InterfaceCore JavaNumber ConversionArduinoEmbedded SystemsIoT
Ayala-talmor
PROFILE
Ayala-talmor
Ayal Atal developed core features for the Automation_Course_2025B repository, focusing on both software and hardware solutions. He built a Java-based base converter utility with binary and hexadecimal support, incorporating input validation, error handling, and a menu-driven command line interface to streamline number conversion tasks for course participants. In the hardware domain, he designed and implemented an Arduino fitness tracker project using C++ and embedded systems principles, integrating LED indicators, servo control, and ultrasonic sensors managed by a state machine. His work established robust, reusable templates and documentation, supporting scalable embedded labs and enhancing course readiness without reported defects.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
3
Lines of code
230
Activity Months2
Your Network
78 people
Work History
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 Monthly Summary: Delivered a new Arduino Fitness Tracker Project as the core hardware lab module for Automation-Course/Automation_Course_2025B. The project implements a state-machine driven workout workflow with LED indicators, servo motor control, and an ultrasonic sensor to count repetitions. Initial project files were committed, establishing a solid foundation for hands-on embedded labs and future feature expansions. No major defects reported this month; plan to address enhancements and documentation in the next sprint. Business value: accelerates course readiness, enables scalable hardware labs, and provides a tangible demonstration of embedded systems capabilities.
1 Commits • 1 Features
Jun 1, 2025June 2025 Monthly Summary: Delivered a new Arduino Fitness Tracker Project as the core hardware lab module for Automation-Course/Automation_Course_2025B. The project implements a state-machine driven workout workflow with LED indicators, servo motor control, and an ultrasonic sensor to count repetitions. Initial project files were committed, establishing a solid foundation for hands-on embedded labs and future feature expansions. No major defects reported this month; plan to address enhancements and documentation in the next sprint. Business value: accelerates course readiness, enables scalable hardware labs, and provides a tangible demonstration of embedded systems capabilities.
June 2025
April 2025
3 Commits • 2 Features
Apr 1, 2025April 2025 month-end summary for Automation_Course_2025B focused on delivering a robust learning utility and strengthening course assets. The main deliverables included a Base Converter Java Program with binary/hexadecimal conversions, error handling, and a simple menu-driven interface, plus the addition of Readme.pdf and PLC_GROUP30.gxw documentation/assets for Group 30 assignments across EX1/Group30 and EX2/Group_30. No major bugs were reported this period.
April 2025
3 Commits • 2 Features
Apr 1, 2025April 2025 month-end summary for Automation_Course_2025B focused on delivering a robust learning utility and strengthening course assets. The main deliverables included a Base Converter Java Program with binary/hexadecimal conversions, error handling, and a simple menu-driven interface, plus the addition of Readme.pdf and PLC_GROUP30.gxw documentation/assets for Group 30 assignments across EX1/Group30 and EX2/Group_30. No major bugs were reported this period.
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture85.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Java
Technical Skills
ArduinoCommand Line InterfaceCore JavaEmbedded SystemsIoTNumber Conversion
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