Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 221 · 40 questions

AI tip (Accuracy = correct ÷ total × 100): Steps: 1 choose a problem → 2 collect examples → 3 label them → 4 check and correct bad labels (clean the data) → 5 split into training and test sets → 6 train → 7 test with new examples → 8 measure accuracy → 9 improve the data and retest. Accuracy = correct ÷ total × 100. Wrong = total − correct. Expected right = accuracy ÷ 100 × total. Keep some examples apart for testing (for example one fifth); the rest are for training.

1. 1.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
2. 2.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 13 right and Model B got 10 right. How many percentage points more accurate is Model A?
3. 3.🎯 Ishaan’s fruit sorter was tested on 25 new fruit photos and got 18 right. What is its accuracy in percent?
4. 4.🎯 Tara’s bird-song app was tested on 50 new bird songs and got 46 right. What is its accuracy in percent?
5. 5.❌ Tara’s fruit sorter was tested on 34 new fruit photos and got 25 right. How many did it get wrong?
6. 6.❌ Tara’s spam spotter was tested on 42 new messages and got 41 right. How many did it get wrong?
7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to make it faster (d) to see if it learned
8. 8.🎯 Nisha’s leaf identifier was tested on 50 new leaf photos and got 26 right. What is its accuracy in percent?
9. 9.❌ Tara’s fruit sorter was tested on 16 new fruit photos and got 11 right. How many did it get wrong?
10. 10.📋 Planning an AI project: which comes first — try unseen examples or tag each photo by type? (a) try unseen examples (b) tag each photo by type
11. 11.🎯 Vihaan’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
12. 12.📋 Planning an AI project: which comes first — recheck every label or pick a question to solve? (a) recheck every label (b) pick a question to solve
13. 13.📋 Planning an AI project: which comes first — collect fruit photos or set aside test photos? (a) collect fruit photos (b) set aside test photos
14. 14.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
15. 15.🎯 Nisha’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
16. 16.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 47 right and Model B got 27 right. How many percentage points more accurate is Model A?
17. 17.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
18. 18.🎯 Arjun’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
19. 19.📋 Planning an AI project: which comes first — fix it and test again or pick a question to solve? (a) fix it and test again (b) pick a question to solve
20. 20.📋 Planning an AI project: which comes first — label each example or set aside test photos? (a) label each example (b) set aside test photos
21. 21.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
22. 22.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
23. 23.🎯 Ishaan’s spam spotter is 70% accurate. If it is tested on 50 new messages, how many should it get right?
24. 24.🎯 Saanvi’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
25. 25.❌ Vihaan’s spam spotter was tested on 32 new messages and got 26 right. How many did it get wrong?
26. 26.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
27. 27.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
28. 28.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
29. 29.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 38 right and Model B got 33 right. How many percentage points more accurate is Model A?
30. 30.🎯 Kabir’s leaf identifier was tested on 20 new leaf photos and got 12 right. What is its accuracy in percent?
31. 31.🎯 Saanvi’s bird-song app is 60% accurate. If it is tested on 30 new bird songs, how many should it get right?
32. 32.🎯 Saanvi’s leaf identifier is 60% accurate. If it is tested on 80 new leaf photos, how many should it get right?
33. 33.❌ Rohan’s recycling sorter was tested on 21 new waste photos and got 19 right. How many did it get wrong?
34. 34.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
35. 35.🎯 Tara’s recycling sorter was tested on 50 new waste photos and got 28 right. What is its accuracy in percent?
36. 36.🎯 Nisha’s spam spotter was tested on 10 new messages and got 5 right. What is its accuracy in percent?
37. 37.🎯 Ananya’s bird-song app is 70% accurate. If it is tested on 10 new bird songs, how many should it get right?
38. 38.🎯 Saanvi’s bird-song app was tested on 25 new bird songs and got 15 right. What is its accuracy in percent?
39. 39.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
40. 40.📦 Ananya collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?

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