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Mini-Project — AI Travel Advisor

Goal

Build an AI-powered Travel Advisor that helps users plan personalized trips through a conversational interface.

The application should gather information about the user's trip, ask follow-up questions when needed, and generate a complete travel itinerary.

luisjunco

Discover: Tool Calling (Function Calling) with the OpenAI Responses API

In this exercise, you'll research and discover how to allow an LLM to invoke your own Python functions.

Iteration 0 — Research

Do some quick research:

• What is tool calling

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Practice: Your First OpenAI API Call

Your task: write a Python script that sends a question to an LLM using the OpenAI API and prints the answer.

Iteration 1 — Research & setup (no code given)

Write a minimal script that sends a request to the OpenAI API, with the message "What's the capital of France?" and prints the response.

Notes:

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Practice: SQLite setup & first steps

Iteration 1 - Setup:

Follow the instructions in the unit "Installations: Intro to SQL with SQLite " to install SQLite and DB Browser for SQLite

Note:

• You'll find instructions for each operating system: Windows / Mac / Linux.
• If you use Windows → for DB Browser for SQLite, use Method 3 or Method 1.

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Project-2 Recommendations

Core steps & things to practice

• EDA (e.g. make sure to check if the dataset is imbalanced)
• Data splitting
  • Option 1: Train/Test split (e.g. 80/20) + Cross-Validation
• Option 2: Train/Validation/Test (e.g. 70/15/15)

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Data Visualization - Discover: Boxplots

Iteration 1:

Research what boxplots are, what information they convey, and why they are useful.

Iteration 2:

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Practice: groupby()

Interation 1

Load the Titanic dataset (from seaborn).

#
# Note: you may need to install seaborn
#

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Practice: Pandas Fundamentals

Instructions

We'll use the Titanic dataset (built into seaborn) — it has missing values, making it perfect for this exercise.

Iteration 1: Import the dataset

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AI Ethics / Responsible AI

Overview

Engineers don't just build systems — they ship decisions. Every model you deploy makes choices that affect real people: who gets a loan, who gets flagged by a security system, which doctor's referral gets prioritized by a triage system...

We believe that building AI responsibly is part of the job — not an afterthought. This session won't give you all the answers, but it will make sure you're asking the right questions before you ship.

The content is intentionally open-ended — teachers are encouraged to adapt the format and topics to their own style, expertise, and student interests.

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Unix Command Line Cheatsheet

Navigation

• pwd - Print working directory (show current location)
• ls - List directory contents
• ls -la - List all files (including hidden) with details
• cd <directory> - Change directory
• cd .. - Go up one level
• cd ~ - Go to home directory