An advanced IoT-based water quality monitoring system has been developed by combining data from multiple sensors, edge computing, and machine learning algorithms that is used for the prediction of real-time water quality. The system uses various parameters such as pH, dissolved oxygen, turbidity, temperature, and total dissolved solids (TDS) sensors. Water Quality Index (WQI) model that is derived mathematically is taken to know the various level of water quality. The modular architecture is built using Arduino-based low-power hardware. It is portable, scalable and deployable in remote locations such as rivers, lakes, and industrial water sources. This IoT-driven water quality monitoring system provides a cost-effective, secure, and scalable solution for environmental monitoring and public health issues.