OtagoPolytechnic/Cloudy-with-a-Chance-of-LoRa
Oct 2024 – Nov 2024
2 Months active
Languages Used
C++JavaScript
Technical Skills
Data FormattingEmbedded SystemsIoTLoRaWANFront End Development
Kieren
PROFILE
Kieren
During a two-month period, Dunnersguy developed and enhanced IoT sensor data processing for the OtagoPolytechnic/Cloudy-with-a-Chance-of-LoRa repository. He improved ESP32 device stability by implementing a scheduled 12-hour reboot and refining LoRaWAN deployment placeholders, using C++ for embedded systems work. He also created a JavaScript payload formatter to decode binary sensor data, enabling clearer dashboard visualization. In the following month, he updated wind speed display units to kilometers per hour and streamlined rainfall data processing by using raw pulse counts, which improved data reliability. His work demonstrated depth in embedded systems, data formatting, and front end development for IoT applications.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
4
Lines of code
107
Activity Months2
Work History
November 2024
3 Commits • 2 Features
Nov 1, 2024Monthly summary for 2024-11: Delivered two customer-visible features for OtagoPolytechnic/Cloudy-with-a-Chance-of-LoRa and stabilized the data pipeline. Implemented wind speed display in km/h and enhanced rainfall data processing to use raw pulse counts, addressing data clarity and reliability. Resolved critical issues (issue #128) and performed targeted code cleanup to reduce noise and merge conflicts, improving maintainability and onboarding for new contributors. The work enhances dashboard accuracy, sensor data trust, and overall system stability for IoT deployments.
3 Commits • 2 Features
Nov 1, 2024Monthly summary for 2024-11: Delivered two customer-visible features for OtagoPolytechnic/Cloudy-with-a-Chance-of-LoRa and stabilized the data pipeline. Implemented wind speed display in km/h and enhanced rainfall data processing to use raw pulse counts, addressing data clarity and reliability. Resolved critical issues (issue #128) and performed targeted code cleanup to reduce noise and merge conflicts, improving maintainability and onboarding for new contributors. The work enhances dashboard accuracy, sensor data trust, and overall system stability for IoT deployments.
November 2024
October 2024
3 Commits • 2 Features
Oct 1, 2024October 2024 monthly summary for Otago Polytechnic: Cloudy with a Chance of LoRa focused on reliability and data usability. Implemented ESP32 stability enhancements with a scheduled 12-hour reboot and WDT removal, restored resetInterval, and refined LoRaWAN placeholders to guide deployments. Added a JavaScript TTN payload formatter to decode a 10-byte binary payload into actionable sensor data, improving dashboard clarity and decision support. These changes collectively boost device uptime, deployment readiness, and data interpretability across LoRaWAN sensors.
October 2024
3 Commits • 2 Features
Oct 1, 2024October 2024 monthly summary for Otago Polytechnic: Cloudy with a Chance of LoRa focused on reliability and data usability. Implemented ESP32 stability enhancements with a scheduled 12-hour reboot and WDT removal, restored resetInterval, and refined LoRaWAN placeholders to guide deployments. Added a JavaScript TTN payload formatter to decode a 10-byte binary payload into actionable sensor data, improving dashboard clarity and decision support. These changes collectively boost device uptime, deployment readiness, and data interpretability across LoRaWAN sensors.
Activity
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Quality Metrics
Correctness80.0%
Maintainability83.4%
Architecture73.4%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++JavaScript
Technical Skills
Data FormattingEmbedded SystemsFront End DevelopmentIoTLoRaWAN
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