Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 339 · 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.🎯 Arjun’s recycling sorter was tested on 50 new waste photos and got 50 right. What is its accuracy in percent?
2. 2.📋 Planning an AI project: which comes first — collect fruit photos or test on new photos? (a) collect fruit photos (b) test on new photos
3. 3.🎯 Saanvi’s fruit sorter was tested on 20 new fruit photos and got 12 right. What is its accuracy in percent?
4. 4.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
5. 5.🎯 Diya’s recycling sorter is 90% accurate. If it is tested on 80 new waste photos, how many should it get right?
6. 6.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
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.📋 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
9. 9.📋 Planning an AI project: which comes first — let it learn patterns or tag each photo by type? (a) let it learn patterns (b) tag each photo by type
10. 10.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
11. 11.❌ Aarav’s spam spotter was tested on 43 new messages and got 34 right. How many did it get wrong?
12. 12.🎯 Kabir’s recycling sorter was tested on 25 new waste photos and got 20 right. What is its accuracy in percent?
13. 13.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
14. 14.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
15. 15.🎯 Kabir’s bird-song app was tested on 10 new bird songs and got 6 right. What is its accuracy in percent?
16. 16.❌ Kabir’s fruit sorter was tested on 47 new fruit photos and got 43 right. How many did it get wrong?
17. 17.❌ Ananya’s leaf identifier was tested on 42 new leaf photos and got 37 right. How many did it get wrong?
18. 18.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
19. 19.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
20. 20.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 16 right and Model B got 15 right. How many percentage points more accurate is Model A?
21. 21.📋 Planning an AI project: which comes first — choose what to sort or gather many examples? (a) choose what to sort (b) gather many examples
22. 22.🎯 Aarav’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
23. 23.🎯 Diya’s spam spotter was tested on 25 new messages and got 17 right. What is its accuracy in percent?
24. 24.🎯 Nisha’s recycling sorter was tested on 20 new waste photos and got 10 right. What is its accuracy in percent?
25. 25.❌ Kabir’s recycling sorter was tested on 29 new waste photos and got 21 right. How many did it get wrong?
26. 26.❌ Tara’s bird-song app was tested on 47 new bird songs and got 41 right. How many did it get wrong?
27. 27.🎯 Vihaan’s handwriting reader was tested on 50 new handwritten letters and got 44 right. What is its accuracy in percent?
28. 28.❌ Ishaan’s spam spotter was tested on 40 new messages and got 35 right. How many did it get wrong?
29. 29.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
30. 30.📋 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
31. 31.🎯 Vihaan’s recycling sorter is 90% accurate. If it is tested on 100 new waste photos, how many should it get right?
32. 32.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it bigger (d) to make it faster
33. 33.📋 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
34. 34.📋 Planning an AI project: which comes first — try unseen examples or tag each photo by type? (a) try unseen examples (b) tag each photo by type
35. 35.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
36. 36.🎯 Nisha’s spam spotter is 70% accurate. If it is tested on 30 new messages, how many should it get right?
37. 37.📦 Ishaan collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
38. 38.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
39. 39.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?
40. 40.📦 Saanvi collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?

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