Home Pi 5 Custom TFLite Model Training and Deployment
Pi 5 Custom TFLite Model Training and Deployment
In Stock

Pi 5 Custom TFLite Model Training and Deployment

SKU: CDN-KIT-2557 Brand: Compoden Category: Electronics > Edge AI & Computer Vision > Project Kits
Rs. 46,430.00
Inclusive of all taxes
Free Shipping on prepaid orders above ₹999
Ships in 1-5 days
7-Day Warranty on manufacturing defects
Need 10+ units? Contact us for bulk pricing
100% Genuine Products
Expert Technical Support
Quality Tested
Soldr.ai Ask about this product

Deploy Custom AI Vision on the Edge: Raspberry Pi 5 TFLite Training & 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: MLOps Pipeline & Edge Deployment

Imagine pointing a Raspberry Pi camera at a workstation and identifying defective PCBs, sorting recyclables, or counting visitors — all with a custom model running locally, no cloud needed. This kit guides you through training a classifier on your own dataset, quantising for INT8 acceleration, and deploying to a Pi 5 equipped with fast NVMe storage for real-time inference. It’s the full MLOps loop, from laptop to edge, packaged with every component and a dedicated AI companion.

What You'll Build

You’ll create a complete edge AI system: a custom image classifier that runs entirely on-device using TensorFlow Lite. Your model will be trained via transfer learning from a pre‑trained MobileNet, quantised to 8‑bit precision, and deployed with a live camera feed. The finished system shows classification labels and confidence scores on screen, with model and images stored on the high‑speed NVMe SSD.

What You'll Learn

  • Train a custom image classifier with TensorFlow and apply transfer learning on a laptop
  • Quantise a floating-point model to TFLite INT8 for faster inference on Pi 5
  • Integrate Pi Camera Module 3 with the TFLite runtime for real-time classification
  • Set up an NVMe SSD boot drive on Pi 5 via M.2 HAT for high-speed model and data storage

Kit Contents

Component Quantity
Raspberry Pi 5 8GB 1
Pi Camera Module 3 1
NVMe SSD 256GB 1
Pi 5 M.2 HAT+ 1
USB-C PSU 1

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

Tailored for final-year B.Tech (ECE/EEE/CS) students at IITs, NITs, VIT, and BITS Pilani tackling computer vision capstone projects, Smart India Hackathon finalists needing rapid edge AI prototyping, and junior MLOps engineers building proof-of-concepts for Indian startups. If you’re ready to move beyond canned examples and train models on your own data, this kit gives you the hardware and guided workflow to make it happen.

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?

The AI companion provides step-by-step instructions for every stage—from Python environment setup to TFLite model conversion—and you can reach our support team via WhatsApp for personalised help.

Do I need a powerful laptop to train the model?

No—the kit uses transfer learning with a lightweight MobileNet backbone that runs comfortably on most modern laptops with 8GB RAM. Training takes about 20 minutes; all heavy inference happens on the Pi.

Can I use my own dataset instead of the provided example?

Absolutely. The AI companion walks you through dataset structuring and loading any set of labelled images. The entire pipeline is built around your custom classes.

What if my Pi 5 doesn’t boot from the NVMe SSD?

The AI companion includes a bootloader configuration guide. If that doesn’t resolve it, our team will help over WhatsApp to flash the correct EEPROM settings and get you booting from NVMe in minutes.

Train a custom image classifier on a laptop using Transfer Learning, quantise to TFLite INT8 and deploy to Pi 5 — full MLOps pipeline.

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

View complete shipping policy →

View complete returns policy →