Water Tank Level Monitor Kit v5 - Multi-Hazard Early Warning with Raspberry Pi 5

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

Transform a Raspberry Pi 5 into a tri-sensor early warning station. Fusing seismic data from dual MPU6050s, water level from HC-SR04 ultrasonic sensors, and wind speed from an anemometer, this kit runs an on-device ML model that issues alerts the moment an earthquake's P-wave arrives, floodwaters rise abruptly, or storm gusts exceed learned thresholds. You code the fusion logic, train the model with real vibration and water-rise patterns, and deploy a dashboard that keeps a rural home or farm informed of the next hazard - long before official alerts appear.

What You'll Build

A compact monitoring unit that mounts beside a rooftop water tank yet watches for geological and weather threats. The dual-IMU arrangement cancels vibration noise, letting the ML model detect true seismic signals; the ultrasonic pair tracks water level changes with millimeter resolution, and the anemometer feeds wind gusts into the same inference pipeline. When a hazard signature matches, the Pi sends WhatsApp notifications and logs the event on NVMe SSD for later analysis.

What You'll Learn

• Real-time sensor fusion: combining I�C (MPU6050) and GPIO (ultrasonic, pulse-count anemometer) streams in Python
• Machine learning inference on the edge with TensorFlow Lite, converting a trained model to run on Arm cores
• Multi-threaded data logging and alerting with SQLite on NVMe storage
• System integration for disaster-ready IoT - managing power, sensor calibration, and networked notification APIs

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

CBSE Class 12 students designing physics or computer science projects on disaster prediction; B.Tech ECE/EEE undergraduates validating a Smart India Hackathon prototype that combines IoT with machine learning; and advanced ATL Tinkering Lab members exploring real-time sensor fusion under mentor supervision. The build challenges you to think like an embedded ML engineer - ideal for anyone preparing for IIT/NIT/VIT/BITS hackathons.

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.