Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 763 · 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.📦 Saanvi collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
2. 2.📋 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
3. 3.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
4. 4.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 12 right. How many percentage points more accurate is Model A?
5. 5.❌ Nisha’s fruit sorter was tested on 42 new fruit photos and got 36 right. How many did it get wrong?
6. 6.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
7. 7.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
8. 8.🎯 Meera’s recycling sorter is 50% accurate. If it is tested on 90 new waste photos, how many should it get right?
9. 9.❌ Rohan’s spam spotter was tested on 17 new messages and got 12 right. How many did it get wrong?
10. 10.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it faster (d) to make it bigger
11. 11.📦 Arjun collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
12. 12.❌ Arjun’s spam spotter was tested on 31 new messages and got 28 right. How many did it get wrong?
13. 13.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
14. 14.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
15. 15.❌ Tara’s leaf identifier was tested on 20 new leaf photos and got 14 right. How many did it get wrong?
16. 16.🎯 Nisha’s fruit sorter is 90% accurate. If it is tested on 30 new fruit photos, how many should it get right?
17. 17.🎯 Arjun’s fruit sorter was tested on 50 new fruit photos and got 26 right. What is its accuracy in percent?
18. 18.❌ Kabir’s leaf identifier was tested on 32 new leaf photos and got 30 right. How many did it get wrong?
19. 19.📋 Planning an AI project: which comes first — label each example or let it learn patterns? (a) label each example (b) let it learn patterns
20. 20.📦 Arjun collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
21. 21.📋 Planning an AI project: which comes first — collect fruit photos or try unseen examples? (a) collect fruit photos (b) try unseen examples
22. 22.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
23. 23.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 15 right and Model B got 10 right. How many percentage points more accurate is Model A?
24. 24.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
25. 25.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
26. 26.🧪 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
27. 27.❌ Aarav’s recycling sorter was tested on 34 new waste photos and got 29 right. How many did it get wrong?
28. 28.❌ Nisha’s bird-song app was tested on 22 new bird songs and got 13 right. How many did it get wrong?
29. 29.❌ Arjun’s bird-song app was tested on 18 new bird songs and got 12 right. How many did it get wrong?
30. 30.📦 Aarav collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
31. 31.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 25 right and Model B got 17 right. How many percentage points more accurate is Model A?
32. 32.📦 Rohan collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
33. 33.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
34. 34.📦 Aarav collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
35. 35.🎯 Aarav’s fruit sorter is 90% accurate. If it is tested on 30 new fruit photos, how many should it get right?
36. 36.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
37. 37.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
38. 38.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
39. 39.📋 Planning an AI project: which comes first — label each example or calculate percent right? (a) label each example (b) calculate percent right
40. 40.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 21 right and Model B got 19 right. How many percentage points more accurate is Model A?

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