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Class 8 Β· AI Project Lifecycle

πŸ”„ The AI Project Lifecycle β€” how an AI project is built

An AI project isn't built in one go β€” it's a journey of six stages, from figuring out the problem, to collecting good data, training a model, testing it, putting it to work, and then watching over it. Walk the stages, sort real-world gadgets into Automation vs AI, and build a tiny model that predicts a student's marks!

Playground 1 Β· the journey

🚢 Walk the 6 stages

Press β–Ά Next stage to light up each step of an AI project, one at a time. Read what happens β€” with a real example β€” at every stop.

Ready to begin

The journey of an AI project

Every AI project follows these six stages in order. Press β–Ά Next stage to take your first step!

Stage 0 of 6
Playground 2 Β· spot the difference

βš™οΈπŸ€– Automation or AI?

A machine that does the exact same thing every time, with fixed rules, is automation. A machine that learns and adapts from data is AI. Read each gadget and pick!

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Score: 0 / 0

Playground 3 Β· a tiny model

πŸŽ“ Predict the student

Our model trained on past students and learned a rule. It checks 4 conditions β€” if 3 or more are met, it predicts Above 75%. Slide the controls and watch its live prediction!

πŸ“ The rule it learned attendance > 80%  AND  study > 2 hrs  AND  marks > 75  AND  participates  β†’  Above 75%
82%
2.5h
77
Try the book's students:

πŸ€– In a real AI β€” it's a repeating loop, not a straight line The six stages don't just end. After monitoring, the world changes β€” new data, new habits β€” so we loop back, collect fresh data and retrain. And it all rests on one golden rule: β€œGarbage In, Garbage Out” β€” feed a model messy, wrong data and it learns the wrong things. Clean, good data is what makes a smart, fair AI. πŸ”„

Practice 🎯

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