Water is imperative in the regular day to day existence of the human race. Household people use water to sustain life. Nowadays, household people excessively use water without knowing how much water do they already consume in real-time and are unaware on which faucet in the household has the highest water consumption. With the use of the internet of things (IoT) platform with visual analytics (VA), a real-time water consumption monitoring system has been developed for household and commercialized building applications. In order to get the water consumption data, a Hall Effect water flow sensor is attached to every faucet, which is then processed by a NodeMCU, then pushed to the Heroku cloud database. A Liquid Crystal Display (LCD) alphanumeric screen displays the total volume consumed and the real-time water flow rate for each faucet. To further visualize the water consumption data, a comprehensible chart report about the overall household water consumption from the cloud database can be accessed through a web browser or a mobile device. To achieve an accurate water flow measurement, an initial calibration is being performed for every sensor in the faucet. A test was conducted to determine how accurate the system is in monitoring the correct water consumption. Ten trials of filling up a 10-liter bottle using one faucet, two 10-liter bottles using two faucets, and three 10-liter bottles using three faucets at a time was conducted. The study came up with an overall average accuracy of 99.38%. The study concluded that the developed IoT system can make an accurate water consumption monitoring and can also identify which faucet has the highest consumption using visual analytics.