
Developed a sensor data ingestion API for the SE4CPS/PlantWaterSystem repository, enabling real-time collection, validation, and storage of moisture readings from field sensors. Leveraged Python with FastAPI, Pydantic, and SQLAlchemy to implement a robust backend endpoint and data layer, ensuring reliable data flow from hardware devices to persistent storage. Focused on data validation and integrity to support downstream analytics and monitoring needs. The work established a scalable foundation for future analytics dashboards and reporting, addressing the requirements for real-time monitoring and alerting. This feature laid the groundwork for comprehensive data-driven insights within the plant water system project.
March 2025 monthly summary for SE4CPS/PlantWaterSystem. Delivered Sensor Data Ingestion API enabling real-time moisture readings ingestion, validation, and persistence. Established end-to-end data flow from field sensors to backend storage, laying groundwork for analytics and monitoring.
March 2025 monthly summary for SE4CPS/PlantWaterSystem. Delivered Sensor Data Ingestion API enabling real-time moisture readings ingestion, validation, and persistence. Established end-to-end data flow from field sensors to backend storage, laying groundwork for analytics and monitoring.

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