The forward-looking feedback systems in the hands of consumers become non-starters in certain economies; and over-use of electricity is an emerging issue with regard to household consumption. In this paper a prototype of the low cost, IoT based household energy consumption measuring system is designed and programmed with ESP32 microcontroller, ACS712 hall-effect current sensor and ZMPT101B voltage sensor, and software for the system is developed and tested. The node captures samples from both mediums, providing RMS voltage, RMS current and active power at a pre-specified power factor, progressive energy and then pushing all of these samples via WiFi to a locally hosted python-flask web server as json payload. All records are stored in the backend in a flat CSV file as well as a relational table in a sqlite, no need of external packages to create trend charts in SVG format, alerts when thresholds are met and trigger a self-refreshing browser based dashboard. The rooftop solar contribution is a damping of a measured power use by a subordinate model, which reasons sustainability without installing any additional equipment. The validation data consisted of a synthetic 24 hour set of 144 ten minute readings yielding an average power of 230.66 W, peak power of 493.55 W, total energy produced of 5.536 kWh, energy consumed from the electric grid of 4.195 kWh (given that the renewable offset modelled 1.341 kWh) and eight alerts for threshold breaches, most of which occurred between 16:00 and 20:00 (even evening). The prototype is deliberately reproducible, and is appropriate for submission to students' mini-projects and for entry-level academic publications. This is an AC power consumption measurement system for consumers with the integration of ESP32 microcontroller, Flask dashboard and two household energy sensors: the ACS712 and ZMPT101B.The project is a power usage measurement system for home appliances that incorporates two home energy monitors: ACS712 and ZMPT101B, a Flask dashboard and an ESP32 microcontroller.