Identifying tasks where AI adds value in AI for Everyone - Mini Project: Build & Apply

Identifying Tasks Where AI Adds Value

📖 Scenario: You work in a small business that wants to use AI to improve daily work. You need to find which tasks AI can help with the most.

🎯 Goal: Build a list of common tasks and mark which ones AI can help with, so the business can focus on the best uses of AI.

📋 What You'll Learn

Create a list of tasks with exact names

Add a variable to hold AI helpfulness threshold

Use a loop to select tasks where AI adds value

Complete the list with AI helpful tasks only

💡 Why This Matters

🌍 Real World

Businesses often need to decide where to apply AI to save time and improve results. This project helps identify those tasks clearly.

💼 Career

Understanding how to evaluate tasks for AI suitability is useful for managers, analysts, and anyone involved in digital transformation.

1

Create a list of tasks

Create a list called tasks with these exact strings: 'Data entry', 'Customer support', 'Report generation', 'Creative writing', 'Scheduling meetings'.

AI for Everyone

# Create the list called tasks with the exact task names
# Your code here

Need a hint?

Use square brackets [] to create a list and put each task name in quotes separated by commas.

2

Set AI helpfulness threshold

Create a variable called ai_helpful_threshold and set it to 3. This number means tasks rated 3 or higher are good for AI help.

AI for Everyone

tasks = ['Data entry', 'Customer support', 'Report generation', 'Creative writing', 'Scheduling meetings']
# Set ai_helpful_threshold to 3
# Your code here

Need a hint?

Just assign the number 3 to the variable ai_helpful_threshold.

3

Assign AI helpfulness ratings

Create a dictionary called task_ratings with these exact key-value pairs: 'Data entry': 5, 'Customer support': 4, 'Report generation': 3, 'Creative writing': 2, 'Scheduling meetings': 1.

AI for Everyone

tasks = ['Data entry', 'Customer support', 'Report generation', 'Creative writing', 'Scheduling meetings']
ai_helpful_threshold = 3
# Create task_ratings dictionary with exact ratings
# Your code here

Need a hint?

Use curly braces {} to create a dictionary with task names as keys and numbers as values.

4

Select tasks where AI adds value

Create a list called ai_helpful_tasks using a list comprehension that includes tasks from tasks where their rating in task_ratings is greater than or equal to ai_helpful_threshold.

AI for Everyone

tasks = ['Data entry', 'Customer support', 'Report generation', 'Creative writing', 'Scheduling meetings']
ai_helpful_threshold = 3
task_ratings = {'Data entry': 5, 'Customer support': 4, 'Report generation': 3, 'Creative writing': 2, 'Scheduling meetings': 1}
# Create ai_helpful_tasks list with tasks rated >= ai_helpful_threshold
# Your code here

Need a hint?

Use a list comprehension with for task in tasks and an if condition comparing task_ratings[task] to ai_helpful_threshold.