AI-Powered Water Quality Monitor Kit with ESP32 + Sensor
Build an AI-Powered Water Quality Index Monitor with ESP32 and TensorFlow Lite
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
From monitoring lake pollution to safeguarding drinking water sources, this kit empowers you to build a professional-grade water quality monitor that calculates the Water Quality Index (WQI) and infers contaminant types using a TensorFlow Lite regression model running on an ESP32-S3. It’s a complete sensor-to-cloud system designed for long-term field deployment.
What You’ll Build
A solar-powered, self-contained monitoring station that measures Total Dissolved Solids (TDS), Electrical Conductivity (EC), pH, Dissolved Oxygen (DO), and turbidity simultaneously. The ESP32-S3 processes multi-sensor data through a pre-trained TFLite model to compute the WQI and detect possible contamination sources like industrial runoff or organic pollution. Results are logged locally on microSD, timestamped via RTC, and transmitted over LoRa to a remote dashboard or cloud platform for real‑time analysis.
What You’ll Learn
- Calibrate multi‑parameter water quality sensors (TDS, pH, DO, turbidity) to laboratory standards
- Implement edge AI inference on ESP32 using TensorFlow Lite Micro for sensor regression
- Design a low‑power IoT system with solar charging, 18650 battery management, and deep‑sleep modes
- Integrate LoRa long‑range communication for remote environmental monitoring up to several kilometres
Kit Contents
| Component | Quantity |
|---|---|
| ESP32-S3 Dev Board | 1 |
| TDS EC Meter | 1 |
| Analog pH Module | 1 |
| Analog DO Module | 1 |
| Turbidity Sensor | 1 |
| DS3231 RTC | 1 |
| MicroSD Module | 1 |
| RA-02 LoRa | 1 |
| 433MHz Antenna | 1 |
| LM2596 Buck Converter | 1 |
| Solar Panel 6V 2W | 1 |
| 18650 Cell | 2 |
| TP4056 Module | 1 |
| 100nF Caps | 15 |
| PCB Prototype Board | 3 |
| Waterproof Enclosure | 1 |
| Soldering Iron | 1 |
| Solder Wire | 1 |
Why Buy This Kit Instead of Sourcing Parts Separately
| Factor | Sourcing Separately | Compoden Kit |
|---|---|---|
| Compatibility checks | You verify every part | Pre-tested as a system |
| Build support | Forums and scattered tutorials | AI companion trained on this exact project |
| Time to first working build | Days of debugging | Hours, with step-by-step guidance |
| Shipping coordination | Multiple sellers, multiple delays | One shipment from Bengaluru in 3-5 days |
Who This Kit Is For
This advanced kit suits B.Tech ECE/EEE students tackling major water quality projects, environmental engineering researchers at IITs, NITs, or BITS deploying field stations, and professionals building Smart City monitoring networks. It is equally valuable for Smart India Hackathon teams focused on AI for sustainability and ATL Tinkering Lab mentors guiding senior students through sensor fusion and TinyML.
Built and Backed by Compoden
Every Compoden kit ships with an AI build companion trained on this exact project — accessible via a QR code on the box, with WhatsApp and email backup. We’ve spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.
What if I get stuck during the build?
Scan the QR code inside the box to chat with the AI companion trained on this kit’s exact components and code. If you need human help, reach out on WhatsApp and we’ll guide you step by step.
Can this kit be used for real-time water quality monitoring of a river or lake?
Absolutely. With LoRa transmission, solar charging, and a waterproof enclosure, the station can operate autonomously for weeks and relay data kilometres away. The TFLite model provides instantaneous WQI estimation right at the edge.
Does the AI model support Indian water quality standards like BIS or WHO?
The included TFLite model can be calibrated to compare sensor readings against BIS-10500 or WHO thresholds. The AI companion provides guidance on adjusting the regression target and retraining if you need a custom standard.
How do I train my own TensorFlow Lite model for a different sensor array?
The AI companion includes a module on collecting labelled water samples, exporting training data, and using a Google Colab notebook to retrain the regression model. You can then deploy the updated model onto the ESP32-S3 with a few clicks.
TDS EC + pH + DO + turbidity sensor array feeds TFLite regression model that predicts WQI and contaminant type.
What's in this kit
Choose your assembly option:
- Soldering Kit — 25W soldering iron, 60/40 solder wire, flux, and small perfboard for permanent assembly.
- Breadboard Combo — 800-point full-size breadboard with 65-piece jumper wire pack for solderless prototyping.
Shipping Information
- Prepaid Orders: ₹75 for orders up to ₹999, FREE shipping above ₹999
- COD Orders: ₹125 shipping + ₹50 COD fee = ₹175 total
- Delivery Timeline: Dispatch in 1-2 days, delivery in 2-7 days depending on location
Returns & Warranty
- 7-Day Return: Manufacturing defects only (approval required)
- Warranty: 7 days from delivery
- Non-Returnable: Batteries, consumables, cut wires, clearance items