🎁 From Plural's mentors · Free

3 AI Projects Any Kid Can Build
This Weekend

No prior coding needed. Each project takes 60–90 minutes and ends with something real — something your child built themselves.

60–90 min each Ages 8–18 Free tools only Any laptop

Every parent asks two questions: is AI coding too hard for my child? And: where do they even begin?

These three projects are designed by Plural's mentors (ex-Google, IIT Madras, Microsoft) to answer both — by letting your child build something real. Not a tutorial. Not a worksheet. A working product they made themselves, using free tools available today.

We've included exact steps, what to expect at each one, and what your child actually learns from it.

1
Ages 8–13 · Beginner ⏱ ~60 min
A chatbot that knows your city better than Google
Your child teaches an AI everything about Jaipur, Kochi, Pune — or whichever city they love.

Using Google's free NotebookLM, your child uploads Wikipedia articles, local news, or travel pages about their city. The AI reads everything and becomes an expert. Then your child interviews it — asking what a tourist might ask, testing what it knows, correcting it when it's wrong. They're not just using AI. They're teaching it.

Step-by-step
1
Go to notebooklm.google.com — sign in with any Google account. It's completely free.
2
Create a new notebook. Upload 3–5 articles about their city — paste URLs from Wikipedia, a travel blog, or a local news site.
3
Open the chat and start asking: "What's the best street food in Jaipur?" or "Why is Kochi called the Queen of the Arabian Sea?"
4
Add more sources — a local newspaper, a tourism board page, their own notes — and watch the answers sharpen.
5
Final challenge: "Can you make it good enough that Grandma would trust it as a travel guide?" Let them decide what's missing and fix it.
Tools used
Google NotebookLM Wikipedia Any browser
🧠
What they'll learn How AI "reads" and reasons from documents — the exact concept behind every chatbot, customer service bot, and AI assistant in the world. This is called Retrieval-Augmented Generation (RAG), and your 10-year-old will understand it before most software engineers.
2
Ages 10–16 · Intermediate ⏱ ~75 min
An AI that reads your timetable and plans your entire week
Your child builds a personal study planner — powered by Claude AI, designed by them.

Using Claude.ai (free, no card needed), your child writes a "system prompt" — a set of instructions that turns a general AI into their personal study coach. They define the rules, the format, the tone. Then they test it, break it, and improve it. This is prompt engineering: the most in-demand AI skill of 2026, starting exactly like this.

Step-by-step
1
Go to claude.ai and create a free account. No payment needed.
2
Start a new chat. Tell Claude: "Act as my study planner. I have [subjects] this week, exams on [dates], and free time at [times]."
3
Ask it to generate a daily schedule. Then push back: "This doesn't look right — my Maths exam is harder than Science. Fix it."
4
Add personality: "Make it motivating. Add a reward after each block. Use emojis." Let them shape it to match how they actually think.
5
Final challenge: write a single paragraph of instructions — a "system prompt" — that makes this planner work perfectly every time, with no extra explanation from them.
Tools used
Claude.ai (free) No coding required
✍️
What they'll learn Prompt engineering — giving AI precise instructions to get precise results. The skill that every company hiring for "AI roles" actually means when they say "AI experience." It starts exactly here: write an instruction, test it, refine it.
3
Ages 13–18 · Advanced beginner ⏱ ~90 min
A bot that texts your phone when a product gets cheaper
Your teen wires together three tools and builds their first real automation — no code written.

Using Make.com (free tier), your teen builds an automated workflow: check a price every morning → compare to their target → send an alert if it drops. They'll connect three tools with drag-and-drop logic — no syntax, no typing code — and in doing so understand how every app they've ever used actually works under the hood.

Step-by-step
1
Go to make.com and create a free account.
2
Create a new "Scenario". Add a Schedule trigger and set it to run every morning at 9am.
3
Add an HTTP module. Use a mock JSON URL (try jsonplaceholder.typicode.com) to simulate a product API — or look up a public price API for a product they track.
4
Add a Filter: continue only if price is below their target. Let your teen set the number — the headphones they want for ₹999, for example.
5
Add a Gmail module. Connect it to send: "🔥 Price dropped! It's now ₹[price]. Go buy it." Run the scenario and watch the email arrive.
Tools used
Make.com (free) HTTP module Gmail
⚡
What they'll learn How APIs work — the invisible plumbing of every app, every startup, every AI product on the planet. How to build automation workflows. How to think in triggers, conditions, and actions. This is systems thinking, and it's learnable at 13.
Bonus · From Plural's mentors

The one question that separates builders from users

After each project, ask your child: "What problem does this solve, and for whom?"

Not "how does it work?" — that's a user question. "What problem does it solve?" — that's a builder question. The kids who go on to win hackathons, ship real products, and build careers are the ones who start from a problem, not a tool.

At Plural, every session starts with this question. It's why our students build things that matter — not just things that run.

Your child's next step

Your child could build this
in their first Plural session.

In a Plural batch, they build projects like these every week — live, with a mentor, in a group of 8. First 2 weeks are completely free.

Drop your WhatsApp number. We'll reach out within 2 hours.

✅ Saved! We'll WhatsApp you within 2 hours.

No spam. No sales calls. Just one conversation.

Enjoying the guide? We'll hold a free seat for your child.
✅ Got it! We'll be in touch.