Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 737 · 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.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
2. 2.📋 Planning an AI project: which comes first — recheck every label or collect fruit photos? (a) recheck every label (b) collect fruit photos
3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to save paper (d) to make it bigger
4. 4.🧪 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
5. 5.📋 Planning an AI project: which comes first — correct bad labels or choose what to sort? (a) correct bad labels (b) choose what to sort
6. 6.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
7. 7.🎯 Kabir’s handwriting reader is 80% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
8. 8.❌ Tara’s fruit sorter was tested on 24 new fruit photos and got 17 right. How many did it get wrong?
9. 9.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
10. 10.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
11. 11.🎯 Meera’s handwriting reader is 60% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
12. 12.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
13. 13.❌ Tara’s fruit sorter was tested on 31 new fruit photos and got 30 right. How many did it get wrong?
14. 14.📦 Ananya collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
15. 15.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
16. 16.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
17. 17.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
18. 18.📦 Ishaan collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Nisha’s spam spotter is 80% accurate. If it is tested on 80 new messages, how many should it get right?
20. 20.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
21. 21.🎯 Diya’s fruit sorter is 50% accurate. If it is tested on 20 new fruit photos, how many should it get right?
22. 22.❌ Rohan’s spam spotter was tested on 24 new messages and got 21 right. How many did it get wrong?
23. 23.❌ Aarav’s fruit sorter was tested on 16 new fruit photos and got 11 right. How many did it get wrong?
24. 24.📦 Vihaan collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
25. 25.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 25 right and Model B got 20 right. How many percentage points more accurate is Model A?
26. 26.❌ Tara’s bird-song app was tested on 44 new bird songs and got 39 right. How many did it get wrong?
27. 27.🎯 Arjun’s fruit sorter was tested on 20 new fruit photos and got 13 right. What is its accuracy in percent?
28. 28.❌ Meera’s recycling sorter was tested on 38 new waste photos and got 34 right. How many did it get wrong?
29. 29.📋 Planning an AI project: which comes first — collect fruit photos or set aside test photos? (a) collect fruit photos (b) set aside test photos
30. 30.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 24 right and Model B got 15 right. How many percentage points more accurate is Model A?
31. 31.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
32. 32.🎯 Aarav’s bird-song app was tested on 20 new bird songs and got 17 right. What is its accuracy in percent?
33. 33.❌ Rohan’s leaf identifier was tested on 13 new leaf photos and got 12 right. How many did it get wrong?
34. 34.📋 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
35. 35.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
36. 36.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 13 right. How many percentage points more accurate is Model A?
37. 37.📋 Planning an AI project: which comes first — let it learn patterns or label each example? (a) let it learn patterns (b) label each example
38. 38.🎯 Diya’s recycling sorter is 90% accurate. If it is tested on 70 new waste photos, how many should it get right?
39. 39.🎯 Aarav’s bird-song app was tested on 50 new bird songs and got 38 right. What is its accuracy in percent?
40. 40.📦 Diya collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?

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