Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 87 · 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.📦 Nisha collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
2. 2.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
3. 3.📦 Aarav collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
4. 4.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) nothing at all (d) only a big robot
5. 5.🎯 Saanvi’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
6. 6.📋 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
7. 7.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
8. 8.🎯 Ananya’s fruit sorter is 80% accurate. If it is tested on 20 new fruit photos, how many should it get right?
9. 9.🎯 Kabir’s handwriting reader is 80% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
10. 10.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
11. 11.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
12. 12.📋 Planning an AI project: which comes first — label each example or try unseen examples? (a) label each example (b) try unseen examples
13. 13.❌ Tara’s recycling sorter was tested on 33 new waste photos and got 30 right. How many did it get wrong?
14. 14.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 12 right. How many percentage points more accurate is Model A?
15. 15.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) a louder speaker (d) fewer examples
16. 16.📋 Planning an AI project: which comes first — split train and test or choose what to sort? (a) split train and test (b) choose what to sort
17. 17.🎯 Tara’s bird-song app is 70% accurate. If it is tested on 70 new bird songs, how many should it get right?
18. 18.🎯 Diya’s leaf identifier is 70% accurate. If it is tested on 30 new leaf photos, how many should it get right?
19. 19.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
20. 20.🎯 Vihaan’s leaf identifier was tested on 25 new leaf photos and got 17 right. What is its accuracy in percent?
21. 21.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
22. 22.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
23. 23.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 48 right and Model B got 41 right. How many percentage points more accurate is Model A?
24. 24.❌ Nisha’s bird-song app was tested on 19 new bird songs and got 11 right. How many did it get wrong?
25. 25.🧪 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
26. 26.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
27. 27.📋 Planning an AI project: which comes first — work out the accuracy or recheck every label? (a) work out the accuracy (b) recheck every label
28. 28.🎯 Aarav’s handwriting reader was tested on 20 new handwritten letters and got 11 right. What is its accuracy in percent?
29. 29.📦 Kabir collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
30. 30.📋 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
31. 31.❌ Aarav’s handwriting reader was tested on 48 new handwritten letters and got 46 right. How many did it get wrong?
32. 32.🎯 Diya’s bird-song app was tested on 20 new bird songs and got 17 right. What is its accuracy in percent?
33. 33.🎯 Vihaan’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
34. 34.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 23 right and Model B got 20 right. How many percentage points more accurate is Model A?
35. 35.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model
36. 36.📦 Kabir collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
37. 37.🎯 Kabir’s handwriting reader is 90% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
38. 38.📦 Meera collected 200 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
39. 39.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
40. 40.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns

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