Water quality monitoring is essential for public health and environmental protection. Traditional methods, relying on periodic sampling and lab tests, are time-consuming, costly, and lack real-time data, making it difficult to quickly detect and address water quality issues. These systems also require manual intervention and are not scalable, especially in remote areas. Therefore, this project proposes an IoT-based smart system for real-time water quality monitoring and analysis using various sensors, such as TDS, turbidity, pH, temperature, ammonia, iron, carbonates, and others, to continuously monitor the water quality. These sensors send real-time data to the ESP-32 microcontroller, which processes the information and analyzes the water's current parameters. The system then displays the readings on a user interface, showing parameters like temperature, pH, dissolved oxygen, TDS, and more. If any parameter falls outside the acceptable range, an alarm is triggered, alerting users to potential issues, such as high temperature or imbalanced pH levels, as seen in the screenshot. In addition to current readings, the system also tracks the trends of parameters like TDS, ammonia, iron, and carbonates over time, helping users monitor fluctuations and detect patterns. The system offers an easy-to-understand graphical representation of these trends, allowing for quick detection of any abnormalities and providing the necessary insights for timely intervention.