Practice and Mini Project

# Mini Project: Map the AI in your life
# No fancy tools needed - just Python and your observations

# Create a dictionary of AI applications you use
my_ai_applications = {
    "Gmail spam filter": {
        "task": "Email classification",
        "type": "Supervised Learning",
        "data_it_learned_from": "Millions of labeled spam and non-spam emails",
        "how_it_helps": "Saves time by filtering junk email automatically"
    },
    "YouTube recommendations": {
        "task": "Content recommendation",
        "type": "Machine Learning",
        "data_it_learned_from": "My watch history, likes, search history",
        "how_it_helps": "Shows me videos I am likely to enjoy"
    },
    "Google Maps route prediction": {
        "task": "Traffic prediction and routing",
        "type": "Machine Learning",
        "data_it_learned_from": "Real-time GPS data from millions of drivers",
        "how_it_helps": "Finds the fastest route and avoids traffic"
    }
}

# Print a structured summary
print("=== AI Applications I Use Every Day ===")
print()

for app_name, details in my_ai_applications.items():
    print(f"Application: {app_name}")
    print(f"  Task: {details['task']}")
    print(f"  AI Type: {details['type']}")
    print(f"  Learned from: {details['data_it_learned_from']}")
    print(f"  How it helps: {details['how_it_helps']}")
    print()

print(f"Total applications identified: {len(my_ai_applications)}")
print("Project complete!")