Smart Water Quality Monitoring System using TDS Sensor & IoT

Imagine carrying a pocket-sized scientist that instantly tells you if your water is safe to drink, suitable for crops, or contaminated. This project uses a TDS (Total Dissolved Solids) sensor connected with ESP32 / Arduino + IoT cloud to continuously monitor the purity of water.

💧 The sensor checks dissolved salts, minerals, and pollutants in real time, giving an exact ppm (parts per million) reading. High TDS may indicate harmful contaminants like heavy metals, while low TDS may show lack of essential minerals.

📱 The data is sent live to a smartphone dashboard where you can view trends, alerts, and reports. If unsafe water is detected, the system sends an instant warning notification.

✨ What makes it special is the IoT integration + predictive ML model:

• Detects abnormal water patterns (e.g., sudden pollution spike).

• Suggests preventive actions like filter replacement or checking pipeline leakage.

• Logs history for environmental studies and smart city applications.

🔑 Highlights for Students

✔️ Resume Booster – Demonstrates IoT, data analytics, and smart sensing.
✔️ Placement Edge – Employers value real-world applications like smart agriculture, water safety, and healthcare.
✔️ Industry Use Cases – Drinking water plants, aquaculture, hydroponics, and household RO system monitoring.
✔️ Hands-on Learning – Sensor calibration, IoT dashboard setup, and optional ML add-on for anomaly detection.
✔️ Scalable Project – Can be expanded with pH sensor, turbidity sensor, or dissolved oxygen sensor.