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Pi 5 Model Compression IoT Deployment
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Pi 5 Model Compression IoT Deployment

SKU: CDN-KIT-2389 Brand: Compoden Category: Electronics > AI IoT > Project Kits
Rs. 70,820.00
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Deploy Compressed AI on Microcontrollers: Pi 5 Model Compression IoT Deployment 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.

Difficulty: Advanced Build Time: 8-10 hrs Age: 18-25 Skill: Knowledge Distillation & Edge AI Deployment

You have a powerful AI model running on a Raspberry Pi 5, but you need it to run across multiple low-power ESP32 microcontrollers that read sensor data in real time. This kit gives you the hardware and guided workflow to apply knowledge distillation — compressing that Pi 5 model into a 10x smaller version that deploys on three ESP32s, with less than 5% accuracy loss. By the end, you'll have a working distributed inference system: sensors feeding compressed models on ESP32s, with the Pi 5 orchestrating the pipeline.

What You'll Build

You'll build a sensor network where three ESP32 devices run distilled versions of a larger neural network. Each ESP32 independently processes data from two sensors, making fast, low-power inferences that match the original model's performance within a tight margin. The Raspberry Pi 5 serves as the training and distillation host, storing the full model and student models on an NVMe SSD via the M.2 HAT+. All components, from power supply to wiring, ship ready to assemble.

What You'll Learn

  • Apply knowledge distillation to shrink a neural network trained on Raspberry Pi 5, preserving over 95% accuracy
  • Port TensorFlow Lite Micro models onto ESP32 dev boards and run split-sensor inference
  • Build a complete data pipeline: sensor collection, preprocessing on ESP32, inference, and results aggregation
  • Optimize model quantization and memory footprint for resource-constrained microcontrollers in real IoT deployments

Kit Contents

Component Quantity
Raspberry Pi 5 8GB 1
NVMe SSD 512GB 1
Pi 5 M.2 HAT+ 1
ESP32 Dev Board 3
Various Sensors 6
USB-C PSU 1
MicroUSB Cable 3
M-M Wires 25

Why Buy This Kit Instead of Sourcing Parts Separately

Factor Sourcing Separately Compoden Kit
Compatibility checks You verify every part Pre-tested as a system
Build support Forums and scattered tutorials AI companion trained on this exact project
Time to first working build Days of debugging Hours, with step-by-step guidance
Shipping coordination Multiple sellers, multiple delays One shipment from Bengaluru in 3-5 days

Who This Kit Is For

Designed for B.Tech ECE/EEE students working on major projects, Smart India Hackathon teams tackling AI-on-edge challenges, and IIT/NIT/VIT/BITS researchers exploring model compression. Also suits CBSE Class 12 students with advanced AI/ML coursework and ATL tinkering labs that want to demonstrate large-to-small model deployment with real sensor 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.

What if I get stuck during the build?

Scan the QR code to open the AI companion — it knows every step of the distillation pipeline and wiring. If it can't resolve your issue, WhatsApp our team directly for live support.

Can I train my own dataset instead of the preloaded example?

Yes, the companion guides you through dataset swap steps. The Pi 5 and SSD provide enough headroom to train on your own sensor data, then distill and deploy.

What if my ESP32 boards have a different RAM size?

The distilled models are optimized for the standard ESP32 with 520KB SRAM. The companion includes instructions to adjust quantization if you use an ESP32-S2, -S3, or -C3 variant.

How do I validate the 10x compression claim?

The companion provides scripts that measure model size before and after distillation, and you run inference on the same test sensor data to verify accuracy stays above 95%.

Knowledge distillation compresses a large Pi 5 model for deployment on ESP32 — 10x size reduction with less than 5 percent accuracy loss.

What's in this kit

Shipping Information

  • Prepaid Orders: ₹75 for orders up to ₹999, FREE shipping above ₹999
  • COD Orders: ₹125 shipping + ₹50 COD fee = ₹175 total
  • Delivery Timeline: Dispatch in 1-2 days, delivery in 2-7 days depending on location

Returns & Warranty

  • 7-Day Return: Manufacturing defects only (approval required)
  • Warranty: 7 days from delivery
  • Non-Returnable: Batteries, consumables, cut wires, clearance items

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