Embedded systems · Team project
IoT livestock monitoring
An Arduino and load-cell weighing system with connected monitoring.
The problem
Tracking livestock weight requires a repeatable way to turn physical measurements into readings that can be monitored over time.
What I built
The resume documents an IoT load-cell weighing platform using Arduino microcontrollers, HX711 amplifiers, C/C++ signal filtering firmware, and real-time telemetry dashboards. I contributed to the weighing and monitoring system as part of the team named on the INOTEK certificate.
Constraints & lessons
Calibration and signal stability matter as much as connectivity. The resume reports a measurement precision claim but supplies no test protocol or reference weights; it is therefore omitted from the headline results.
Result & evidence
The team received Third Place for “Development of Livestock Weight Tracking System Based on IoT” at INOTEK 2025 (Series 1), held on 15 January 2025. The certificate verifies the team award; it does not validate sensor accuracy or a production deployment.