Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 497 · 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 — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
2. 2.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
3. 3.🎯 Kabir’s leaf identifier was tested on 10 new leaf photos and got 9 right. What is its accuracy in percent?
4. 4.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a new colour screen (d) a louder speaker
6. 6.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 22 right. How many percentage points more accurate is Model A?
7. 7.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
8. 8.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 50 right and Model B got 49 right. How many percentage points more accurate is Model A?
9. 9.🎯 Tara’s leaf identifier is 90% accurate. If it is tested on 10 new leaf photos, how many should it get right?
10. 10.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 13 right and Model B got 11 right. How many percentage points more accurate is Model A?
11. 11.📋 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
12. 12.📦 Tara collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
13. 13.🎯 Kabir’s recycling sorter was tested on 25 new waste photos and got 14 right. What is its accuracy in percent?
14. 14.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
15. 15.📦 Meera collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
16. 16.📦 Ananya collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
17. 17.🎯 Nisha’s handwriting reader is 60% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
18. 18.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) nothing at all (d) a secret password
19. 19.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
20. 20.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 18 right and Model B got 14 right. How many percentage points more accurate is Model A?
21. 21.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 24 right and Model B got 19 right. How many percentage points more accurate is Model A?
22. 22.📋 Planning an AI project: which comes first — collect fruit photos or set aside test photos? (a) collect fruit photos (b) set aside test photos
23. 23.📦 Diya collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
24. 24.📦 Kabir collected 120 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 — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
26. 26.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 24 right and Model B got 20 right. How many percentage points more accurate is Model A?
27. 27.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
28. 28.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 49 right and Model B got 41 right. How many percentage points more accurate is Model A?
29. 29.❌ Kabir’s leaf identifier was tested on 27 new leaf photos and got 18 right. How many did it get wrong?
30. 30.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
31. 31.🎯 Meera’s fruit sorter was tested on 50 new fruit photos and got 30 right. What is its accuracy in percent?
32. 32.📦 Arjun collected 70 labelled leaf photos for a leaf identifier 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 fix it and test again? (a) train the model (b) fix it and test again
34. 34.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
35. 35.📋 Planning an AI project: which comes first — calculate percent right or label each example? (a) calculate percent right (b) label each example
36. 36.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 24 right and Model B got 21 right. How many percentage points more accurate is Model A?
37. 37.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
38. 38.❌ Tara’s fruit sorter was tested on 44 new fruit photos and got 40 right. How many did it get wrong?
39. 39.🎯 Nisha’s bird-song app was tested on 25 new bird songs and got 21 right. What is its accuracy in percent?
40. 40.🎯 Ishaan’s recycling sorter is 80% accurate. If it is tested on 10 new waste photos, how many should it get right?

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