AI Trailblazers · Week 5 of 5

Polishing &
presentation

From a working project to a portfolio asset you can show the world.

Shape: 20 min theory + 100 min practical  ·  You'll need: the Week 5 Colab notebook + your project from Weeks 3–4

The shape of today

Polish, publish, present

2 halves
  • Theory (20 min): how agentic projects open real doors — résumés, apps, internships.
  • Practical (100 min): polish the code, publish to Kaggle, then pitch it live.

Ends with a Presentation Slam — 3-minute pitches, real feedback, awards.

1
Part 1 · Theory

Pathways to opportunities

Concept · Framing your work

Turn "I built a thing" into a story

  • Lead with the problem — "Parents can't compare summer camps easily, so I built…"
  • Name the agent skills — tool integration, planning, working with real data.
  • Show the artifact — a clickable Kaggle link beats any claim.
📄 Résumé line vs. college essay

Résumé: one crisp bullet with a link. Essay: the story of what broke, what you tried, what you learned. Same project, two lengths.

Concept · What companies want

The skills you've been building

🛠️ Tool integration

Wiring an LLM to functions, APIs, and data — the core of real agents.

🧩 Problem decomposition

Breaking a fuzzy goal into steps a system can actually execute.

🐛 Iterative debugging

Reading errors, forming a guess, testing it — the daily work of building.

🔎 Finding openings

Internships, research programs, hackathons, open-source issues.

🔑 Internship search tips

Search "high school AI internship" + your city · email a professor with your Kaggle link · enter a Kaggle "Getting Started" competition · contribute one small fix to an open-source repo.

⚡ Energizer · 10–12 min · on your feet

60-Second Hype

  • Pair up. Each person gets 60 seconds to pitch — partner listens, no interrupting.
  • Round 1: pitch a silly product (a self-petting cat robot). Round 2: pitch your real project.
  • Feedback in two lines: "I liked…" and "I wondered…" — then swap.
Printable prompt cards in Coach HQ → Week 5 energizer
2
Part 2 · Practical

Polish, publish, present

Practical · Station 1

Production polish

  • Comment the "why," not the "what" — future-you and your reader will thank you.
  • One clear README cell at the top: what it does, how to run it, what to expect.
  • Peer test: a partner runs your notebook top-to-bottom on a fresh copy.
# Give your agent a friendly face — one Gradio cell
import gradio as gr

gr.Interface(
    fn=run_agent,                 # your agent function
    inputs="text",               # the user's question
    outputs="text",              # the agent's answer
    title="Camp Finder Agent"
).launch()                     # shareable live demo link
Note

No time for a UI? A clean CLI loop (input() → agent → print()) counts as polish too. Pick one and finish it.

Practical · Station 2

Publish to Kaggle

  • Colab → Kaggle: download .ipynb, then New Notebook → File → Import on Kaggle.
  • Markdown storytelling: title, the problem, how the agent works, results.
  • Reproducibility: "Run All" must work top-to-bottom with no missing cells.
# A markdown cell tells the story around your code
## 🏕️ Camp Finder Agent
**Problem:** comparing summer camps by hand is slow.
**How it works:** the agent calls a search tool, then
summarizes the top matches into a short table.
**Result:** ask one question, get a ranked answer.
🔗 Deliverable

Set the notebook to Public and grab the link. That URL is your portfolio piece — paste it into the shared template.

Practical · Station 3

Portfolio Presentation Slam 🎤

1 · Problem + design

What you set out to solve and how your agent is put together.

2 · Live demo

Run it. Ask it a real question. Let the room see it work.

3 · Key learning

The hardest bug or biggest surprise — and what it taught you.

🗣 Feedback frame

After each pitch, two hands: one "I liked…" and one "I wondered…" Same frame as the energizer — keep it warm and fast.

🏆 Awards: Most Creative  ·  Best Execution  ·  Clearest Explanation

Week 5 · Finale

You have a portfolio 🎉

  • ✅ A working Colab project — a real agent that runs end-to-end.
  • ✅ A public Kaggle notebook — a link you can put on any application.
  • ✅ A 3-minute pitch — you can talk about your work with confidence.
  • ✅ A portfolio page — everything in one place, ready to share.
🗺️ Back to the roadmap

Talk → Agents → Data → Build → Ship. Five weeks, from "AI answers" to "I built and shipped an AI agent." Keep going — pick your next problem.

Next step → Enter one Kaggle competition · email your notebook link to someone who'd find it cool.

AI Trailblazers · Week 5 — Polish & Present · press S for coach notes