Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 923 · 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’s bird-song app was tested on 24 new bird songs and got 21 right. How many did it get wrong?
2. 2.📋 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
3. 3.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) a secret password (d) nothing at all
4. 4.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) total × 2 (d) correct + total
5. 5.📋 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
6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to save paper (d) to make it bigger
7. 7.❌ Ananya’s handwriting reader was tested on 40 new handwritten letters and got 32 right. How many did it get wrong?
8. 8.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
9. 9.📋 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
10. 10.❌ Nisha’s spam spotter was tested on 41 new messages and got 33 right. How many did it get wrong?
11. 11.🎯 Arjun’s leaf identifier was tested on 50 new leaf photos and got 29 right. What is its accuracy in percent?
12. 12.📋 Planning an AI project: which comes first — collect fruit photos or split train and test? (a) collect fruit photos (b) split train and test
13. 13.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
14. 14.📦 Meera collected 180 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
15. 15.📦 Nisha collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
16. 16.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
17. 17.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
18. 18.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
19. 19.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
20. 20.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 23 right. How many percentage points more accurate is Model A?
21. 21.📋 Planning an AI project: which comes first — collect fruit photos or train the model? (a) collect fruit photos (b) train the model
22. 22.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
23. 23.🎯 Tara’s bird-song app is 90% accurate. If it is tested on 10 new bird songs, how many should it get right?
24. 24.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
25. 25.❌ Diya’s handwriting reader was tested on 24 new handwritten letters and got 20 right. How many did it get wrong?
26. 26.🎯 Kabir’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — recheck every label or pick a question to solve? (a) recheck every label (b) pick a question to solve
28. 28.❌ Kabir’s fruit sorter was tested on 47 new fruit photos and got 38 right. How many did it get wrong?
29. 29.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
30. 30.📦 Kabir collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
31. 31.🎯 Aarav’s recycling sorter was tested on 50 new waste photos and got 45 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — let it learn patterns or label each example? (a) let it learn patterns (b) label each example
33. 33.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
34. 34.❌ Kabir’s bird-song app was tested on 13 new bird songs and got 10 right. How many did it get wrong?
35. 35.📦 Aarav collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
36. 36.❌ Rohan’s spam spotter was tested on 50 new messages and got 45 right. How many did it get wrong?
37. 37.🎯 Aarav’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
38. 38.🎯 Vihaan’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
39. 39.🎯 Vihaan’s fruit sorter was tested on 50 new fruit photos and got 25 right. What is its accuracy in percent?
40. 40.🎯 Arjun’s fruit sorter is 60% accurate. If it is tested on 60 new fruit photos, how many should it get right?

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