In recent years, water pollution has become a major issue, posing a risk to the deterioration and contamination of supplies of drinking water. In addition to harming people and animals, pollution also upsets the delicate ecosystems' balance. However, by spotting water contamination early on, we can take the necessary action and avert serious problems. Real-time monitoring of water quality is now essential to ensuring a consistent supply of clean water.A comprehensive solution for efficiently and sustainably monitoring, analysing, and optimising water resources is the digital water quality and quantity management system. Modern technology that can efficiently manage both water quality and quantity are urgently needed given the rising global demand for freshwater and the growing concern over water pollution.This system makes use of a network of sensors and data gathering tools to continually monitor different water quality-related factors like pH levels, dissolved oxygen, temperature, turbidity, and the presence of pollutants. Real-time transmission of the gathered data to a central control facility allows for processing and analysis utilising sophisticated algorithms and machine learning methods.The suggested system makes use of IoT technology to build an interconnected network of sensors and devices. These gadgets gather real-time information on variables affecting water quality, including pH levels, dissolved oxygen concentrations, turbidity, and chemical pollutants. This data is transferred to a centralised system for analysis and monitoring using cutting-edge communication protocols.