Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 416 · 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.🎯 Tara’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
2. 2.🎯 Tara’s leaf identifier is 90% accurate. If it is tested on 20 new leaf photos, how many should it get right?
3. 3.📋 Planning an AI project: which comes first — gather many examples or pick a question to solve? (a) gather many examples (b) pick a question to solve
4. 4.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) nothing at all (d) only a big robot
5. 5.📋 Planning an AI project: which comes first — choose what to sort or recheck every label? (a) choose what to sort (b) recheck every label
6. 6.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) total × 2 (d) correct + total
7. 7.🎯 Nisha’s fruit sorter is 50% accurate. If it is tested on 10 new fruit photos, how many should it get right?
8. 8.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
9. 9.❌ Saanvi’s recycling sorter was tested on 45 new waste photos and got 37 right. How many did it get wrong?
10. 10.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
11. 11.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
12. 12.🎯 Arjun’s leaf identifier is 80% accurate. If it is tested on 40 new leaf photos, how many should it get right?
13. 13.📋 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
14. 14.📋 Planning an AI project: which comes first — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
15. 15.❌ Aarav’s recycling sorter was tested on 33 new waste photos and got 25 right. How many did it get wrong?
16. 16.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
17. 17.🎯 Diya’s leaf identifier is 70% accurate. If it is tested on 30 new leaf photos, how many should it get right?
18. 18.❌ Aarav’s leaf identifier was tested on 37 new leaf photos and got 34 right. How many did it get wrong?
19. 19.🎯 Diya’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
20. 20.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 19 right and Model B got 15 right. How many percentage points more accurate is Model A?
21. 21.🧪 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
22. 22.📦 Kabir collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
23. 23.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
24. 24.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
25. 25.📦 Arjun collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
26. 26.📦 Ananya collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
27. 27.🎯 Meera’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
28. 28.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
29. 29.📦 Arjun collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
30. 30.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
31. 31.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 21 right and Model B got 16 right. How many percentage points more accurate is Model A?
32. 32.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
33. 33.📋 Planning an AI project: which comes first — fix it and test again or label each example? (a) fix it and test again (b) label each example
34. 34.❌ Meera’s fruit sorter was tested on 41 new fruit photos and got 40 right. How many did it get wrong?
35. 35.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
36. 36.📋 Planning an AI project: which comes first — pick a question to solve or gather many examples? (a) pick a question to solve (b) gather many examples
37. 37.🎯 Vihaan’s bird-song app is 70% accurate. If it is tested on 90 new bird songs, how many should it get right?
38. 38.📦 Rohan collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
39. 39.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
40. 40.🎯 Ananya’s recycling sorter was tested on 50 new waste photos and got 37 right. What is its accuracy in percent?

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