Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 292 · 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 leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
2. 2.📋 Planning an AI project: which comes first — fix it and test again or recheck every label? (a) fix it and test again (b) recheck every label
3. 3.❌ Nisha’s recycling sorter was tested on 26 new waste photos and got 25 right. How many did it get wrong?
4. 4.❌ Diya’s bird-song app was tested on 14 new bird songs and got 12 right. How many did it get wrong?
5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) fewer examples (d) a louder speaker
6. 6.🎯 Vihaan’s bird-song app is 60% accurate. If it is tested on 90 new bird songs, how many should it get right?
7. 7.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
8. 8.🎯 Tara’s bird-song app is 90% accurate. If it is tested on 70 new bird songs, how many should it get right?
9. 9.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
10. 10.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 49 right and Model B got 43 right. How many percentage points more accurate is Model A?
11. 11.📋 Planning an AI project: which comes first — let it learn patterns or label each example? (a) let it learn patterns (b) label each example
12. 12.❌ Saanvi’s fruit sorter was tested on 19 new fruit photos and got 11 right. How many did it get wrong?
13. 13.🧪 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 make it bigger (d) to save paper
14. 14.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) paper and examples (d) a secret password
15. 15.❌ Ananya’s fruit sorter was tested on 28 new fruit photos and got 24 right. How many did it get wrong?
16. 16.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
17. 17.🎯 Aarav’s recycling sorter is 60% accurate. If it is tested on 50 new waste photos, how many should it get right?
18. 18.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
19. 19.❌ Ishaan’s bird-song app was tested on 31 new bird songs and got 28 right. How many did it get wrong?
20. 20.📦 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?
21. 21.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
22. 22.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
23. 23.❌ Diya’s leaf identifier was tested on 36 new leaf photos and got 35 right. How many did it get wrong?
24. 24.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
25. 25.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
26. 26.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again
27. 27.🎯 Kabir’s handwriting reader is 50% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
29. 29.🎯 Ananya’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
30. 30.📋 Planning an AI project: which comes first — recheck every label or try unseen examples? (a) recheck every label (b) try unseen examples
31. 31.🎯 Aarav’s fruit sorter was tested on 50 new fruit photos and got 35 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
33. 33.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
34. 34.📋 Planning an AI project: which comes first — let it learn patterns or choose what to sort? (a) let it learn patterns (b) choose what to sort
35. 35.📋 Planning an AI project: which comes first — test on new photos or split train and test? (a) test on new photos (b) split train and test
36. 36.📦 Aarav collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
37. 37.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
38. 38.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
39. 39.🎯 Tara’s spam spotter is 70% accurate. If it is tested on 40 new messages, how many should it get right?
40. 40.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 25 right and Model B got 23 right. How many percentage points more accurate is Model A?

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