IOT-Based Smart Water Quality Monitoring System

Ensuring safe and clean water is a major challenge in today's society. It impacts public health, agriculture, and industry. Traditional water testing methods are often manual, costly,and do not allow for real-time monitoring. To
address these issues, this project develops an IoT-based Smart Water Quality Monitoring System. It continuously measures and analyzes water parameters using advanced sensors and cloud integration. The system uses various
sensors, including a pH sensor to measure acidity and alkalinity, a turbidity sensor to detect suspended particles, a dissolved oxygen sensor to assess oxygen content, a temperature sensor, and a TDS/conductivity sensor to evaluate salinity and ion concentration. These sensors
connect to a microcontroller or processor such as Arduino, ESP32, or Raspberry Pi, which gathers and processes the data. The processed data is sent wirelessly to cloud platforms like ThingSpeak, Firebase, or AWS IoT, allowing for secure storage, visualization, and analysis. Users
can access real-time dashboards and receive alerts when water quality parameters exceed safe levels, enabling timely intervention. By combining IoT technology with environmental
monitoring, this project offers a low-cost,scalable, and efficient solution for managing water quality. The system can be applied in domestic water supply, aquaculture, agriculture, and municipal infrastructure, supporting
sustainable resource management and smart city efforts.