Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 756 · 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.🎯 Aarav’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
2. 2.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 42 right and Model B got 27 right. How many percentage points more accurate is Model A?
3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
4. 4.🎯 Meera’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
6. 6.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
7. 7.📋 Planning an AI project: which comes first — recheck every label or choose what to sort? (a) recheck every label (b) choose what to sort
8. 8.📦 Ananya collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
9. 9.🎯 Tara’s recycling sorter is 60% accurate. If it is tested on 70 new waste photos, how many should it get right?
10. 10.📋 Planning an AI project: which comes first — tag each photo by type or try unseen examples? (a) tag each photo by type (b) try unseen examples
11. 11.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
12. 12.📦 Kabir collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
13. 13.📋 Planning an AI project: which comes first — calculate percent right or recheck every label? (a) calculate percent right (b) recheck every label
14. 14.🎯 Rohan’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
15. 15.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
16. 16.🎯 Saanvi’s recycling sorter is 90% accurate. If it is tested on 100 new waste photos, how many should it get right?
17. 17.📦 Diya collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
18. 18.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
19. 19.❌ Ananya’s bird-song app was tested on 21 new bird songs and got 20 right. How many did it get wrong?
20. 20.🎯 Tara’s handwriting reader was tested on 10 new handwritten letters and got 9 right. What is its accuracy in percent?
21. 21.🎯 Diya’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
22. 22.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
23. 23.📋 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
24. 24.🎯 Saanvi’s recycling sorter was tested on 50 new waste photos and got 32 right. What is its accuracy in percent?
25. 25.📋 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
26. 26.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) total × 2 (d) correct + total
27. 27.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
28. 28.📋 Planning an AI project: which comes first — choose what to sort or split train and test? (a) choose what to sort (b) split train and test
29. 29.📋 Planning an AI project: which comes first — test on new photos or collect fruit photos? (a) test on new photos (b) collect fruit photos
30. 30.🎯 Kabir’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
31. 31.❌ Arjun’s handwriting reader was tested on 30 new handwritten letters and got 27 right. How many did it get wrong?
32. 32.🎯 Meera’s recycling sorter is 50% accurate. If it is tested on 60 new waste photos, how many should it get right?
33. 33.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
34. 34.📋 Planning an AI project: which comes first — correct bad labels or fix it and test again? (a) correct bad labels (b) fix it and test again
35. 35.🎯 Arjun’s leaf identifier is 70% accurate. If it is tested on 50 new leaf photos, how many should it get right?
36. 36.❌ Aarav’s recycling sorter was tested on 28 new waste photos and got 26 right. How many did it get wrong?
37. 37.🎯 Meera’s fruit sorter is 70% accurate. If it is tested on 100 new fruit photos, how many should it get right?
38. 38.🎯 Kabir’s spam spotter was tested on 10 new messages and got 8 right. What is its accuracy in percent?
39. 39.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
40. 40.❌ Aarav’s fruit sorter was tested on 17 new fruit photos and got 16 right. How many did it get wrong?

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