sensebox/sensebox-reboot
Oct 2025 – Oct 2025
1 Month active
Languages Used
ArduinoMarkdown
Technical Skills
C++Display InterfacingEmbedded SystemsHardware IntegrationIoTLED Matrix Control
Lav-Sen
PROFILE
Lav-sen
Lavinia Sen developed a weather indication system for the sensebox/sensebox-reboot repository, integrating temperature and pressure sensors with an OLED display and LED matrix to provide real-time environmental feedback. She established a hardware-software integration pattern using C++ and Arduino, ensuring precise sensor data handling by introducing a bigdecimal dependency. Her work included creating detailed documentation in Markdown, outlining hardware setup and programming steps to support rapid replication for future sensor projects. By delivering a scalable project template and onboarding materials, Lavinia enabled streamlined deployment and documentation improvements, demonstrating depth in embedded systems, display interfacing, and sensor integration within IoT contexts.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
299
Activity Months1
Your Network
14 people
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary focusing on key deliverables and business value for the senseBox project. The month focused on delivering a new Weather indication project in senseBox-sensebox-reboot, establishing a hardware-software integration pattern, and preparing comprehensive documentation to enable rapid replication for future sensor projects.
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary focusing on key deliverables and business value for the senseBox project. The month focused on delivering a new Weather indication project in senseBox-sensebox-reboot, establishing a hardware-software integration pattern, and preparing comprehensive documentation to enable rapid replication for future sensor projects.
October 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
ArduinoMarkdown
Technical Skills
C++Display InterfacingEmbedded SystemsHardware IntegrationIoTLED Matrix ControlSensor Interfacing
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