AI for comparing schools and programs in AI for Everyone - Mini Project: Build & Apply

AI for Comparing Schools and Programs

📖 Scenario: You want to use AI to help students choose the best school and program for their needs. You will create a simple step-by-step project that shows how AI can organize and compare information about schools and their programs.

🎯 Goal: Build a basic AI awareness project that sets up school data, configures comparison criteria, applies a comparison method, and completes the process to help students decide.

📋 What You'll Learn

Create a dictionary with exact school names and their programs

Add a configuration variable for minimum program rating

Use a loop to filter schools based on the rating

Complete the project by adding a summary variable with the filtered schools

💡 Why This Matters

🌍 Real World

This project shows how AI can help students compare schools and programs by organizing and filtering data based on quality ratings.

💼 Career

Understanding how to structure data and apply filtering logic is useful for roles in education technology, data analysis, and AI-assisted decision making.

1

DATA SETUP: Create a dictionary of schools and their programs

Create a dictionary called schools with these exact entries: 'Greenwood High': {'Math': 8, 'Science': 7}, 'Lakeside Academy': {'Math': 9, 'Science': 6}, 'Hilltop School': {'Math': 7, 'Science': 8}

AI for Everyone

# Create the dictionary called schools with the exact entries
# Your code here

Need a hint?

Use a dictionary with school names as keys and another dictionary for programs and ratings as values.

2

CONFIGURATION: Set a minimum program rating for comparison

Create a variable called min_rating and set it to 7 to use as the minimum rating for programs.

AI for Everyone

schools = {
    'Greenwood High': {'Math': 8, 'Science': 7},
    'Lakeside Academy': {'Math': 9, 'Science': 6},
    'Hilltop School': {'Math': 7, 'Science': 8}
}
# Set the minimum rating to 7
# Your code here

Need a hint?

Just create a simple variable with the number 7.

3

CORE LOGIC: Filter schools with programs meeting the minimum rating

Create a dictionary called filtered_schools that includes only schools where all program ratings are greater than or equal to min_rating. Use a for loop with school and programs to iterate over schools.items().

AI for Everyone

schools = {
    'Greenwood High': {'Math': 8, 'Science': 7},
    'Lakeside Academy': {'Math': 9, 'Science': 6},
    'Hilltop School': {'Math': 7, 'Science': 8}
}
min_rating = 7
# Create filtered_schools dictionary with schools meeting min_rating
# Your code here

Need a hint?

Use a for loop and the all() function to check program ratings.

4

COMPLETION: Add a summary variable with the filtered school names

Create a list called summary that contains only the names of schools from filtered_schools. Use a list comprehension with school for school in filtered_schools.

AI for Everyone

schools = {
    'Greenwood High': {'Math': 8, 'Science': 7},
    'Lakeside Academy': {'Math': 9, 'Science': 6},
    'Hilltop School': {'Math': 7, 'Science': 8}
}
min_rating = 7
filtered_schools = {}
for school, programs in schools.items():
    if all(rating >= min_rating for rating in programs.values()):
        filtered_schools[school] = programs
# Create summary list with names of filtered schools
# Your code here

Need a hint?

Use a list comprehension to get the keys from the filtered_schools dictionary.