In this article, an IoT app is developed to monitor a house plant, utilizing sensors and advanced software systems to track the plant's health metrics over time. The project uses InfluxDB, a time series platform that specializes in storing sequential data as it appears over time, allowing for comparisons, alerts, and monitoring of both physical and virtual worlds. A Particle Boron microcontroller is used to collect data from sensors, which are then sent to InfluxDB via an API. The data is visualized using Plotly's graphing library, providing a dashboard for the user to monitor their plant's health. The project also demonstrates how to query data from InfluxDB using Python and Pandas DataFrames, enabling users to retrieve specific data points and create custom graphs.