Abjhasree S S,
Ann Mary Sajeev,
Sreenidhi J S,
Adarsh A B,
Hayath Roshan Sayed,
- Assistant Professor, Department of Electrical and Electronics Engineering, College of Engineering Perumon, Perinad, Panayam, Kerala, India
- Student, Department of Electrical and Electronics Engineering, College of Engineering Perumon, Perinad, Panayam, Kerala, India
- Student, Department of Electrical and Electronics Engineering, College of Engineering Perumon, Perinad, Panayam, Kerala, India
- Student, Department of Electrical and Electronics Engineering, College of Engineering Perumon, Perinad, Panayam, Kerala, India
- Student, Department of Electrical and Electronics Engineering, College of Engineering Perumon, Perinad, Panayam, Kerala, India
Abstract
Nowadays the availability of safe drinking water is very difficult. In our project we are analysing water quality using different parameters like pH, turbidity, temperature and TDS for determining its safety level by monitoring the data from the readings. Moreover, we have a monitoring system for the data and also a webpage where all the data from these system is displayed. The sensors are connected to an Arduino Nano microcontroller and the Fuzzy Logic system is embedded in the microcontroller for the determination process. The output module contains an active buzzer, TFT display and a webpage interface with AI driven remedial measures. We transfer all the data to cloud and clients can access the quality level through webpage, they can handle the data from anywhere whenever they need. Moreover, the project is portable and therefore, it can be carried everywhere as a plus point. It can be used for measuring all kinds of drinking water to ensure the safety level. In our project, we analyze water quality using different parameters such as pH, turbidity, temperature, and Total Dissolved Solids (TDS) to determine its safety level by continuously monitoring sensor readings. The sensors are connected to an Arduino Nano microcontroller, where a Fuzzy Logic system is embedded to process the collected data and accurately classify the water quality. This intelligent decision-making approach provides more flexible and reliable results compared to conventional threshold-based methods. The output module consists of an active buzzer, a TFT display, and a webpage interface that presents the measured values along with AI-driven remedial measures. The buzzer alerts users whenever unsafe water conditions are detected, while the display provides instant on-site information. The webpage enables users to monitor water quality remotely and access historical data for better analysis and decision-making. Furthermore, all sensor data is securely transferred to the cloud, allowing clients to access the water quality status anytime and from anywhere. Cloud storage also supports long-term data analysis and trend monitoring, making the system suitable for residential, industrial, and community water management applications. The project is portable, lightweight, and easy to deploy in different locations. It can be used to measure various types of drinking water sources, ensuring safe consumption while promoting public health and supporting smart water quality management.
Keywords: Sensors, fuzzy logic, water quality monitoring, web interface, AI-driven suggestions
[This article belongs to Journal of Water Pollution & Purification Research ]
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Journal of Water Pollution & Purification Research
| Volume | 13 | |
| Issue | 02 | |
| Received | 23/04/2026 | |
| Accepted | 26/05/2026 | |
| Published | 10/06/2026 | |
| Publication Time | 48 Days |