Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 148 · 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 spam spotter is 50% accurate. If it is tested on 40 new messages, how many should it get right?
2. 2.🎯 Saanvi’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
3. 3.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
4. 4.🎯 Arjun’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
5. 5.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct ÷ total × 100 (d) correct + total
6. 6.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 33 right and Model B got 31 right. How many percentage points more accurate is Model A?
7. 7.❌ Aarav’s leaf identifier was tested on 24 new leaf photos and got 16 right. How many did it get wrong?
8. 8.❌ Diya’s spam spotter was tested on 22 new messages and got 17 right. How many did it get wrong?
9. 9.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
10. 10.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
11. 11.📦 Nisha collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
12. 12.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 18 right and Model B got 17 right. How many percentage points more accurate is Model A?
13. 13.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
14. 14.📋 Planning an AI project: which comes first — collect fruit photos or improve data, retest? (a) collect fruit photos (b) improve data, retest
15. 15.🎯 Ishaan’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
16. 16.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
17. 17.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest
18. 18.🎯 Ananya’s leaf identifier is 70% accurate. If it is tested on 70 new leaf photos, how many should it get right?
19. 19.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 16 right and Model B got 15 right. How many percentage points more accurate is Model A?
20. 20.🎯 Diya’s handwriting reader is 80% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
21. 21.📦 Ananya collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
22. 22.🎯 Saanvi’s handwriting reader is 90% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
23. 23.📦 Ishaan collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
24. 24.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
25. 25.📦 Ishaan collected 150 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
26. 26.❌ Aarav’s recycling sorter was tested on 50 new waste photos and got 49 right. How many did it get wrong?
27. 27.🎯 Aarav’s spam spotter was tested on 50 new messages and got 43 right. What is its accuracy in percent?
28. 28.❌ Diya’s bird-song app was tested on 43 new bird songs and got 34 right. How many did it get wrong?
29. 29.📋 Planning an AI project: which comes first — fix it and test again or gather many examples? (a) fix it and test again (b) gather many examples
30. 30.📦 Aarav collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
31. 31.🎯 Diya’s spam spotter was tested on 50 new messages and got 34 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — calculate percent right or recheck every label? (a) calculate percent right (b) recheck every label
33. 33.🎯 Vihaan’s handwriting reader was tested on 50 new handwritten letters and got 44 right. What is its accuracy in percent?
34. 34.📦 Kabir collected 100 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
35. 35.📋 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
36. 36.❌ Rohan’s handwriting reader was tested on 28 new handwritten letters and got 24 right. How many did it get wrong?
37. 37.📦 Aarav collected 130 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
38. 38.📋 Planning an AI project: which comes first — recheck every label or gather many examples? (a) recheck every label (b) gather many examples
39. 39.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
40. 40.❌ Aarav’s fruit sorter was tested on 23 new fruit photos and got 14 right. How many did it get wrong?

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