Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 277 · 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.🎯 Ananya’s recycling sorter is 60% accurate. If it is tested on 20 new waste photos, how many should it get right?
2. 2.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
3. 3.📋 Planning an AI project: which comes first — label each example or train the model? (a) label each example (b) train the model
4. 4.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
5. 5.🎯 Ishaan’s spam spotter is 90% accurate. If it is tested on 70 new messages, how many should it get right?
6. 6.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
7. 7.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
8. 8.🎯 Ananya’s leaf identifier is 50% accurate. If it is tested on 40 new leaf photos, how many should it get right?
9. 9.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) paper and examples (d) nothing at all
10. 10.🎯 Vihaan’s fruit sorter is 90% accurate. If it is tested on 60 new fruit photos, how many should it get right?
11. 11.🎯 Kabir’s recycling sorter is 80% accurate. If it is tested on 100 new waste photos, how many should it get right?
12. 12.🎯 Vihaan’s leaf identifier is 80% accurate. If it is tested on 10 new leaf photos, how many should it get right?
13. 13.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
14. 14.📦 Ananya collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
15. 15.📋 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
16. 16.📋 Planning an AI project: which comes first — fix it and test again or correct bad labels? (a) fix it and test again (b) correct bad labels
17. 17.📋 Planning an AI project: which comes first — gather many examples or set aside test photos? (a) gather many examples (b) set aside test photos
18. 18.🎯 Kabir’s fruit sorter is 50% accurate. If it is tested on 90 new fruit photos, how many should it get right?
19. 19.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
20. 20.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to see if it learned (d) to save paper
21. 21.❌ Tara’s leaf identifier was tested on 26 new leaf photos and got 17 right. How many did it get wrong?
22. 22.📋 Planning an AI project: which comes first — calculate percent right or choose what to sort? (a) calculate percent right (b) choose what to sort
23. 23.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 45 right and Model B got 38 right. How many percentage points more accurate is Model A?
24. 24.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) total × 2 (d) correct + total
25. 25.🎯 Tara’s spam spotter is 60% accurate. If it is tested on 30 new messages, how many should it get right?
26. 26.🧪 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
27. 27.🎯 Rohan’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — calculate percent right or gather many examples? (a) calculate percent right (b) gather many examples
29. 29.❌ Diya’s fruit sorter was tested on 20 new fruit photos and got 12 right. How many did it get wrong?
30. 30.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
31. 31.⚖️ 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?
32. 32.🎯 Nisha’s bird-song app is 80% accurate. If it is tested on 70 new bird songs, how many should it get right?
33. 33.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
34. 34.🎯 Vihaan’s bird-song app was tested on 20 new bird songs and got 14 right. What is its accuracy in percent?
35. 35.🎯 Vihaan’s spam spotter is 60% accurate. If it is tested on 30 new messages, how many should it get right?
36. 36.📦 Vihaan collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.🎯 Ananya’s leaf identifier is 70% accurate. If it is tested on 30 new leaf photos, how many should it get right?
38. 38.🎯 Vihaan’s spam spotter is 50% accurate. If it is tested on 30 new messages, how many should it get right?
39. 39.🎯 Diya’s leaf identifier was tested on 20 new leaf photos and got 16 right. What is its accuracy in percent?
40. 40.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?

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