Automation-Course/Automation_Course_2025B
Apr 2025 – Jun 2025
2 Months active
Languages Used
PythonC++
Technical Skills
Base ConversionInput ValidationScriptingArduinoEmbedded SystemsHardware Integration
eden2465
PROFILE
Eden2465
Over a two-month period, this developer contributed to the Automation_Course_2025B repository by delivering three features focused on automation and hardware integration. They built a Python-based binary-hexadecimal converter with robust input validation and a menu-driven interface, and initialized a PLC module with clear documentation scaffolding to streamline future development. In June, they implemented an Arduino-powered RFID-based automated training system, integrating RFID user identification, LCD display, buzzer feedback, ultrasonic sensing, and servo control to enable repeatable training sessions. Their work demonstrated proficiency in C++, Python, embedded systems, and IoT, emphasizing end-to-end hardware-software collaboration and maintainable code practices.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
321
Activity Months2
Your Network
32 peopleShared Repositories
32
Work History
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for Automation-Course/Automation_Course_2025B: Delivered RFID-based Automated Training System leveraging Arduino hardware integration (RFID user identification, LCD display, buzzer feedback, ultrasonic proximity sensing, and a servo-controlled indicator). The system supports waiting for RFID scans, starting a training session via a physical button, and tracking successful shots, enabling automated, repeatable training sessions. Release consolidated end-to-end hardware-software workflow and lays foundation for scalable training programs. Commit reference: 8538d00c1493a597c070d294c7b4f03230dbb5bd (adding a new file by Group2).
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for Automation-Course/Automation_Course_2025B: Delivered RFID-based Automated Training System leveraging Arduino hardware integration (RFID user identification, LCD display, buzzer feedback, ultrasonic proximity sensing, and a servo-controlled indicator). The system supports waiting for RFID scans, starting a training session via a physical button, and tracking successful shots, enabling automated, repeatable training sessions. Release consolidated end-to-end hardware-software workflow and lays foundation for scalable training programs. Commit reference: 8538d00c1493a597c070d294c7b4f03230dbb5bd (adding a new file by Group2).
June 2025
April 2025
2 Commits • 2 Features
Apr 1, 2025April 2025 — Automation_Course_2025B: Delivered two key features with clear business value; prepared groundwork for PLC Group 2 module; and demonstrated strong scripting, validation, and documentation practices. No critical bugs were reported this month, and initial module scaffolding accelerates upcoming PLC Group 2 work.
April 2025
2 Commits • 2 Features
Apr 1, 2025April 2025 — Automation_Course_2025B: Delivered two key features with clear business value; prepared groundwork for PLC Group 2 module; and demonstrated strong scripting, validation, and documentation practices. No critical bugs were reported this month, and initial module scaffolding accelerates upcoming PLC Group 2 work.
Activity
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Quality Metrics
Correctness86.6%
Maintainability86.6%
Architecture86.6%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
ArduinoBase ConversionEmbedded SystemsHardware IntegrationInput ValidationIoTScripting
Repositories Contributed To
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