Raspberry Pi 5 Graph Neural Network IoT Topology Kit – Detects Anomalies Before They Spread

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

Most anomaly detection systems treat each sensor independently, ignoring the hidden relationships between devices that let faults propagate undetected. This kit equips you to build a full edge-AI topology where five ESP32 sensor nodes stream data to a Raspberry Pi 5 running a custom graph neural network. The GNN learns the graph structure connecting all sensors, catching subtle shifts in node relationships long before any single sensor trips a threshold — a technique increasingly used in predictive maintenance, smart grid monitoring, and industrial IoT.

What You'll Build

You’ll assemble five wireless sensor endpoints, configure a Pi 5 as a centralized AI edge server, and train a GNN model that maps each sensor as a node in a dynamic graph. The result is a real-time dashboard that highlights clusters of correlated sensor drift, enabling earlier intervention than isolated sensor alerts. This is the exact architecture used in research labs for grid fault detection and factory condition monitoring.

What You'll Learn

• Design a multi-node IoT topology from scratch using ESP32 microcontrollers and MQTT communication
• Train a graph neural network on temporal sensor data to capture inter-node dependencies
• Implement anomaly scoring that factors in graph structure, not just individual node values
• Deploy the trained GNN on a Raspberry Pi 5 with NVMe SSD acceleration for edge inference

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

This kit is built for advanced makers and engineering students working on final-year B.Tech ECE/EEE projects, Smart India Hackathon prototypes, or research explorations at IIT, NIT, VIT, or BITS. If you’re comfortable with Python and have experimented with basic IoT before, this project will elevate your understanding of graph learning on edge hardware.

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.