Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 595 · 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.🎯 Kabir’s fruit sorter is 80% accurate. If it is tested on 10 new fruit photos, how many should it get right?
2. 2.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) paper and examples (d) only a big robot
3. 3.❌ Ananya’s fruit sorter was tested on 22 new fruit photos and got 14 right. How many did it get wrong?
4. 4.📦 Ananya collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
5. 5.❌ Ananya’s recycling sorter was tested on 49 new waste photos and got 45 right. How many did it get wrong?
6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to save paper (d) to see if it learned
7. 7.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
8. 8.❌ Kabir’s fruit sorter was tested on 17 new fruit photos and got 15 right. How many did it get wrong?
9. 9.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
10. 10.📦 Ishaan collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
11. 11.📋 Planning an AI project: which comes first — tag each photo by type or improve data, retest? (a) tag each photo by type (b) improve data, retest
12. 12.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
13. 13.❌ Nisha’s spam spotter was tested on 37 new messages and got 28 right. How many did it get wrong?
14. 14.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct ÷ total × 100 (d) correct + total
15. 15.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
16. 16.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 50 right and Model B got 48 right. How many percentage points more accurate is Model A?
17. 17.🎯 Ishaan’s recycling sorter is 60% accurate. If it is tested on 10 new waste photos, how many should it get right?
18. 18.📋 Planning an AI project: which comes first — tag each photo by type or test on new photos? (a) tag each photo by type (b) test on new photos
19. 19.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
20. 20.📋 Planning an AI project: which comes first — correct bad labels or choose what to sort? (a) correct bad labels (b) choose what to sort
21. 21.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
22. 22.❌ Saanvi’s bird-song app was tested on 50 new bird songs and got 41 right. How many did it get wrong?
23. 23.🎯 Arjun’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
24. 24.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns
25. 25.📋 Planning an AI project: which comes first — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
26. 26.📦 Tara collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
27. 27.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 12 right and Model B got 11 right. How many percentage points more accurate is Model A?
28. 28.🎯 Vihaan’s bird-song app is 60% accurate. If it is tested on 30 new bird songs, how many should it get right?
29. 29.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
30. 30.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
31. 31.🎯 Kabir’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
32. 32.📦 Saanvi collected 140 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
33. 33.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
34. 34.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
35. 35.❌ Aarav’s bird-song app was tested on 28 new bird songs and got 25 right. How many did it get wrong?
36. 36.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
37. 37.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
38. 38.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 44 right and Model B got 43 right. How many percentage points more accurate is Model A?
39. 39.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
40. 40.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns

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