Fine-Tune Time Series Foundation Models on Raspberry Pi 5 — AI IoT Research Kit

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

Move beyond cloud-only AI research and run time series foundation models directly on the edge. This advanced kit combines a Raspberry Pi 5 8GB with a 512GB NVMe SSD via M.2 HAT+, enabling full model fine-tuning and real-world benchmarking against LSTM and Prophet on your own IoT sensor data. Designed for researchers and advanced students who need reproducible, hardware-accelerated edge ML workflows without relying on remote servers.

What You'll Build

You'll build a portable, self-contained edge AI environment that can ingest historical sensor readings, fine-tune a pre-trained time series foundation model, and generate accurate multi-step forecasts. The project includes setting up the NVMe storage for high-speed model checkpointing and logging, then running side-by-side comparisons with LSTM and Prophet baselines—all on a single Pi 5 powered by USB-C.

What You'll Learn

• Set up NVMe storage on Raspberry Pi 5 using M.2 HAT+ for low-latency model training
• Fine-tune a time series foundation model with PyTorch or ONNX runtime on ARM64 architecture
• Benchmark forecasting accuracy against LSTM and Prophet baselines using IoT sensor datasets
• Deploy and evaluate edge ML pipelines for real-time sensor forecasting applications

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

This kit is built for B.Tech ECE/EEE students tackling final-year edge AI projects, researchers prototyping at IIT/NIT/VIT/BITS labs, and participants in Smart India Hackathon's AI/ML track who need a portable, reproducible benchmarking setup. If you’re comparing forecasting models on real sensor data and need a self-contained hardware platform, this kit removes the friction of sourcing and compatibility.

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.