Project Description:

The IoT Water Quality Monitoring System is designed to automatically monitor and report the quality of water in real-time using sensors and an internet-connected platform. It collects critical parameters such as pH level, turbidity, temperature, dissolved oxygen, and TDS (Total Dissolved Solids) to determine whether the water is safe for consumption, irrigation, or industrial use.

This system is ideal for use in municipal water systems, rural water sources, aquaculture, and industrial settings to ensure public health and regulatory compliance.

Core Objective:

To develop an IoT-enabled system that detects and reports water quality metrics in real-time for continuous monitoring and timely alerts if thresholds are breached.

Key Features:

1. Sensor Integration:

   • pH sensor, turbidity sensor, temperature sensor, TDS sensor, and optionally a dissolved oxygen sensor.

2. Real-Time Monitoring:

   • Continuously collect and transmit water quality data to a cloud or local server.

3. Data Visualization Dashboard:

   • Web-based dashboard to display real-time sensor readings and historical data trends.

4. Threshold Alerts:

   • Automatically notify users when water quality crosses unsafe thresholds via email/SMS/notifications.

5. Data Logging:

   • Store sensor data in a database for future analysis and reporting.

6. Cloud Integration (Optional):

   • Upload readings to platforms like Firebase, AWS IoT, or custom APIs for remote access.

Tech Stack:

 Hardware:

• Microcontroller: ESP32 / Arduino + WiFi module

• Sensors: pH sensor, turbidity sensor, temperature sensor, TDS sensor

• Connectivity: WiFi or GSM module for remote areas

• Power Supply: Solar + Battery (for remote, off-grid usage)

 Backend:

• Node.js / PHP / Java (for data API)

• REST API to accept sensor readings and send data to the frontend

 Frontend:

• HTML, CSS, Bootstrap, JavaScript

• Dashboard for water parameter visualization and status alerts

 Database:

• MySQL / MongoDB / Firebase