Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 479 · 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 — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
2. 2.🎯 Arjun’s handwriting reader is 60% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
3. 3.📋 Planning an AI project: which comes first — work out the accuracy or split train and test? (a) work out the accuracy (b) split train and test
4. 4.📋 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
5. 5.🎯 Arjun’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
6. 6.🎯 Nisha’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
7. 7.📦 Meera collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
8. 8.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) correct + total (d) total × 2
9. 9.📋 Planning an AI project: which comes first — choose what to sort or correct bad labels? (a) choose what to sort (b) correct bad labels
10. 10.🎯 Aarav’s fruit sorter was tested on 10 new fruit photos and got 10 right. What is its accuracy in percent?
11. 11.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
12. 12.🎯 Saanvi’s spam spotter is 50% accurate. If it is tested on 20 new messages, how many should it get right?
13. 13.🎯 Nisha’s leaf identifier was tested on 50 new leaf photos and got 39 right. What is its accuracy in percent?
14. 14.❌ Ananya’s fruit sorter was tested on 19 new fruit photos and got 12 right. How many did it get wrong?
15. 15.❌ Rohan’s fruit sorter was tested on 33 new fruit photos and got 31 right. How many did it get wrong?
16. 16.🧪 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
17. 17.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
18. 18.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
19. 19.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 17 right. How many percentage points more accurate is Model A?
20. 20.📋 Planning an AI project: which comes first — work out the accuracy or pick a question to solve? (a) work out the accuracy (b) pick a question to solve
21. 21.🎯 Aarav’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
22. 22.🎯 Aarav’s bird-song app is 80% accurate. If it is tested on 20 new bird songs, how many should it get right?
23. 23.🎯 Kabir’s recycling sorter is 90% accurate. If it is tested on 30 new waste photos, how many should it get right?
24. 24.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
25. 25.📋 Planning an AI project: which comes first — recheck every label or collect fruit photos? (a) recheck every label (b) collect fruit photos
26. 26.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
27. 27.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
28. 28.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to make it faster (d) to see if it learned
29. 29.❌ Kabir’s spam spotter was tested on 14 new messages and got 10 right. How many did it get wrong?
30. 30.🎯 Ananya’s leaf identifier is 50% accurate. If it is tested on 90 new leaf photos, how many should it get right?
31. 31.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 37 right and Model B got 27 right. How many percentage points more accurate is Model A?
32. 32.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
33. 33.📋 Planning an AI project: which comes first — work out the accuracy or choose what to sort? (a) work out the accuracy (b) choose what to sort
34. 34.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
35. 35.📦 Aarav collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
36. 36.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) a louder speaker (d) more labelled examples
37. 37.📦 Tara collected 140 labelled messages for a spam spotter 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 set aside test photos? (a) recheck every label (b) set aside test photos
39. 39.❌ Vihaan’s fruit sorter was tested on 43 new fruit photos and got 36 right. How many did it get wrong?
40. 40.🎯 Kabir’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?

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