Raspberry Pi 5 Active Learning IoT Labeller – Slash Manual Data Annotation by 70%

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

You’ll build a system that automatically selects the most ambiguous sensor readings from a network of ESP32 nodes and asks a human to label only those — slashing manual annotation work without sacrificing model accuracy. The Raspberry Pi 5 orchestrates the active learning loop, pushing model inference to the edge with its fast NVMe storage. Perfect for AI engineering students tackling massive unlabelled IoT datasets.

What You'll Build

A multi-sensor IoT active learning labeller that streams data from three ESP32 devices, runs a lightweight neural network on the Pi 5 to identify uncertain samples, and presents a labelling interface. Over time, the model improves using fewer human labels — demonstrating a 70% reduction in annotation effort, a critical technique in industrial AI deployments.

What You'll Learn

• Implementing uncertainty sampling with entropy-based query strategies
• Streaming sensor data from ESP32 to Pi 5 via MQTT
• Deploying a lightweight ML model on Raspberry Pi with NVMe acceleration
• Building an interactive labelling pipeline that reduces manual workload on large datasets

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

This kit is built for B.Tech final-year students in ECE, CSE, or AI/ML who need to showcase active learning in an IoT context for capstone projects, Smart India Hackathon prototypes, or research papers. It's also ideal for M.Tech candidates exploring edge AI uncertainty sampling, and for ATL mentors running AI labs that push beyond basic sensor kits.

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.