🚀 Day 10 · The Finale

Ship It!

This is it — the boss level. You've learned how machines see, from pixels to YOLO. Today you'll put it together and build your own working AI app: a smart sorter that recognizes things live. Then you graduate Module 1! 🎓

↓ let's finish strong
🏷️ The pro wordRunning a trained model on new input is inference. Putting it into a real app is deployment - on the device (edge AI) or in the cloud. The whole build-test-ship loop is an ML pipeline (a.k.a. MLOps).
🗺️ Look How Far You've Come

Your journey so far

Tap each stop to remember what you unlocked. Nine superpowers — that's a real computer-vision toolkit!

👆 Tap the stops above to recap your adventure.
🛠️ Boss Build · Your Smart Sorter

Build a real AI app

A "smart sorter" is a real thing — recycling plants use them! Teach yours 2 categories (whatever you like — a book vs a cup, thumbs-up vs thumbs-down), then hit Start Sorting and show it things. It labels them live and keeps score. You built this!

Your camera stays on your device. 🛡️

Step 1: capture ~6 examples for each of your 2 bins. Step 2: Start Sorting and drop 4 items to win!
🚀 Beyond the Basics

How the pros really do it

Your app runs in the browser. Here's how real vision apps ship:

🟢

Run it in the browser (what you did)

✅ Private, instant, free. ⚠️ Limited to smaller models.

📱

On-device / edge

TensorFlow Lite, Core ML, ONNX run models on phones and Raspberry Pi. ✅ Private, offline.

☁️

Cloud serving

A server runs a big model via an API. ✅ Most powerful. ⚠️ Costs money, needs internet.

🏷️ Pro names to look upinference · deployment (edge vs cloud) · ONNX / TFLite / Core ML · MLOps.

🎓 MODULE 1 COMPLETE!

You did it — from "a photo is just numbers" all the way to training AIs, scoring them, detecting objects, and understanding YOLO. You're officially a Computer Vision Explorer. 🏆

Back to the AI Track →
What's next? Module 2 — Machines That Hear (voice & sound AI) is coming soon. You've built an amazing foundation. See you there! 👂
AI Adventure · Module 1 · Day 10 — made for young inventors 🚀