Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 574 · 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.❌ Arjun’s handwriting reader was tested on 21 new handwritten letters and got 12 right. How many did it get wrong?
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.🎯 Aarav’s spam spotter was tested on 50 new messages and got 40 right. What is its accuracy in percent?
4. 4.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 12 right. How many percentage points more accurate is Model A?
5. 5.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to save paper (d) to make it faster
7. 7.❌ Meera’s leaf identifier was tested on 47 new leaf photos and got 45 right. How many did it get wrong?
8. 8.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
9. 9.📋 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
10. 10.📦 Ishaan collected 90 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
11. 11.📦 Tara collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
12. 12.📋 Planning an AI project: which comes first — recheck every label or fix it and test again? (a) recheck every label (b) fix it and test again
13. 13.❌ Tara’s handwriting reader was tested on 21 new handwritten letters and got 12 right. How many did it get wrong?
14. 14.🎯 Ananya’s leaf identifier is 50% accurate. If it is tested on 20 new leaf photos, how many should it get right?
15. 15.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 23 right and Model B got 22 right. How many percentage points more accurate is Model A?
16. 16.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
17. 17.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
18. 18.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) a secret password (d) nothing at all
19. 19.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 47 right and Model B got 25 right. How many percentage points more accurate is Model A?
20. 20.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) a new colour screen (d) fewer examples
21. 21.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 15 right and Model B got 13 right. How many percentage points more accurate is Model A?
22. 22.❌ Ishaan’s recycling sorter was tested on 11 new waste photos and got 10 right. How many did it get wrong?
23. 23.❌ Ananya’s fruit sorter was tested on 24 new fruit photos and got 15 right. How many did it get wrong?
24. 24.📦 Vihaan collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
25. 25.📋 Planning an AI project: which comes first — gather many examples or let it learn patterns? (a) gather many examples (b) let it learn patterns
26. 26.📋 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
27. 27.🎯 Ananya’s fruit sorter is 50% accurate. If it is tested on 30 new fruit photos, how many should it get right?
28. 28.⚖️ 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?
29. 29.📋 Planning an AI project: which comes first — let it learn patterns or label each example? (a) let it learn patterns (b) label each example
30. 30.🎯 Nisha’s handwriting reader is 50% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
31. 31.🎯 Meera’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
32. 32.📦 Ishaan collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
33. 33.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
34. 34.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 49 right and Model B got 48 right. How many percentage points more accurate is Model A?
35. 35.🎯 Arjun’s bird-song app is 90% accurate. If it is tested on 70 new bird songs, how many should it get right?
36. 36.📋 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
37. 37.📦 Diya collected 160 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
38. 38.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 24 right and Model B got 15 right. How many percentage points more accurate is Model A?
39. 39.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
40. 40.❌ Ishaan’s recycling sorter was tested on 46 new waste photos and got 38 right. How many did it get wrong?

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