Hydroponics pH Monitor Kit for Raspberry Pi 5 – AI-Powered Contamination Detection System

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

Water treatment systems fail silently — a pH shift, unexpected turbidity, or a sudden flow drop often goes unnoticed until contamination is widespread. This kit equips you to build a real-time AI monitor that spots those subtle changes, using a Raspberry Pi 5 and four industrial-grade sensors. Train an autoencoder neural network to learn normal water patterns, then let it flag anomalies live — just like the predictive systems used in smart city and agricultural IoT deployments.

What You'll Build

You'll assemble a compact monitoring station that reads pH, turbidity, total dissolved solids (TDS), and flow rate simultaneously. A Python autoencoder running on the Raspberry Pi 5 analyses the multi-sensor data stream; when a contamination event deviates from the learned baseline, the system raises an alert. The full dataset logs to an NVMe SSD for later analysis, making it a perfect foundation for a Smart India Hackathon prototype or a final-year B.Tech project focussing on environmental sensing.

What You'll Learn

• Interfacing analog pH, turbidity, TDS, and hall-effect flow sensors with Raspberry Pi 5 via ADC and GPIO
• Building and training an autoencoder neural network in Python for multivariate anomaly detection
• Streaming and storing high-frequency sensor data to NVMe storage for real-time inference
• Designing an end-to-end IoT alerting pipeline that mimics industrial SCADA monitoring logic

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

This is built for engineering students and hobbyists who want to move beyond simple sensor plotting into genuine edge AI. It's a proven match for Smart India Hackathon water quality themes, B.Tech ECE/EEE minor and major projects, and ATL Tinkering Labs pushing into IoT with machine learning. If you're from a CBSE Class 11-12 school with a Python basics club, you'll follow the AI companion comfortably; collegiate teams from VIT, NIT, or BITS will find the autoencoder architecture ready to extend into research papers.

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.