Youth Advanced AI Lessons

• Theme: AI Innovator Track

Title: Mini Capstone Project

🟢 WEEK 2— Lesson 5

Title: Mini Capstone Project

🎯 Lesson Objective

By the end of this lesson, students will be able to design and present a small AI-powered solution that demonstrates system thinking, responsible use, and builder-level creativity.

1️⃣ What is a Capstone Project?

A capstone project is:

A final practical project

That demonstrates everything you have learned

It is not theory.

It is proof of skill.

In this project, students must:

Identify a problem

Design an AI-powered solution

Structure the workflow

Present clearly

This is where users become builders.

2️⃣ What Students Must Build

Students must create a small AI-powered system.

It must include:

• A clear problem

• At least 2–3 AI tools

• A structured workflow

• Responsible AI considerations

It should solve a real need.

Not just generate random content.

3️⃣ Project Examples (Students Can Choose One)

🧠 AI Study Assistant System

Problem:

Students struggle to revise effectively.

Solution:

AI summary generator → Quiz creator → Weekly study plan

Output:

Complete study support system.

🎙 AI Content Workflow

Problem:

Inconsistent content creation.

Solution:

Research → Script → Image → Design template

Output:

Ready-to-publish content package.

📚 AI Research Helper

Problem:

Difficulty organizing information.

Solution:

AI summarizer → Note organizer → Structured outline

Output:

Clean research document.

💼 AI Career Advisor Bot (Concept Design)

Problem:

Students unsure about career direction.

Solution:

Interest questions → Skill analysis → Career suggestions

Output:

Structured career recommendation system.

⚙️ Automated Content Pipeline

Problem:

Manual repetitive content process.

Solution:

Idea input → Draft generation → Formatting → Publishing checklist

Output:

Repeatable workflow.

4️⃣ What They Must Present

Each student (or group) must clearly explain:

• The problem

• The tools used

• The workflow steps

• The final output

• Ethical considerations

They must show logic.

Not just results.

AI Builders should explain their thinking.

5️⃣ Evaluation Criteria

Projects will be graded based on:

• Creativity

• Practical usefulness

• Clarity of workflow

• Responsible AI use

• Quality of presentation

Structure matters.

Logic matters.

Responsibility matters.

🛠 Capstone Task

Students must:

Choose a real problem

Design an AI-powered workflow

Document each step clearly

Prepare a short presentation (5–7 minutes)

The project must demonstrate system thinking.

📌 Final Submission

Students submit:

1 documented workflow

1 explanation of tool selection

1 reflection on ethical considerations

Optional:

Demo or visual representation

Assessment Weight:

This capstone contributes 60% of final evaluation.

💡Key Takeaway

This project is not about perfection.

It is about proof of builder thinking.

You are no longer just learning AI.

You are designing solutions with AI.

Congratulations.

You have completed the AI Innovator Track.

Next is Accessment.

You are now building at the next level 😌🚀