Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 431 · 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 collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
2. 2.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
3. 3.🎯 Nisha’s spam spotter was tested on 25 new messages and got 13 right. What is its accuracy in percent?
4. 4.🎯 Arjun’s fruit sorter is 80% accurate. If it is tested on 60 new fruit photos, how many should it get right?
5. 5.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
7. 7.📋 Planning an AI project: which comes first — collect fruit photos or tag each photo by type? (a) collect fruit photos (b) tag each photo by type
8. 8.🎯 Nisha’s fruit sorter was tested on 20 new fruit photos and got 14 right. What is its accuracy in percent?
9. 9.🎯 Aarav’s fruit sorter was tested on 20 new fruit photos and got 18 right. What is its accuracy in percent?
10. 10.❌ Meera’s recycling sorter was tested on 31 new waste photos and got 30 right. How many did it get wrong?
11. 11.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
12. 12.📦 Aarav collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
13. 13.📦 Rohan collected 70 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
14. 14.🎯 Ishaan’s bird-song app is 60% accurate. If it is tested on 50 new bird songs, how many should it get right?
15. 15.🎯 Tara’s spam spotter is 50% accurate. If it is tested on 20 new messages, how many should it get right?
16. 16.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
17. 17.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
18. 18.📋 Planning an AI project: which comes first — try unseen examples or recheck every label? (a) try unseen examples (b) recheck every label
19. 19.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
20. 20.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
21. 21.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
22. 22.🎯 Diya’s leaf identifier was tested on 25 new leaf photos and got 22 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
24. 24.🎯 Tara’s leaf identifier was tested on 25 new leaf photos and got 17 right. What is its accuracy in percent?
25. 25.❌ Diya’s recycling sorter was tested on 38 new waste photos and got 30 right. How many did it get wrong?
26. 26.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct ÷ total × 100 (d) correct + total
27. 27.📋 Planning an AI project: which comes first — test on new photos or collect fruit photos? (a) test on new photos (b) collect fruit photos
28. 28.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
29. 29.📋 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
30. 30.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
31. 31.🎯 Vihaan’s handwriting reader is 90% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
32. 32.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 15 right and Model B got 11 right. How many percentage points more accurate is Model A?
33. 33.❌ Kabir’s bird-song app was tested on 33 new bird songs and got 31 right. How many did it get wrong?
34. 34.🎯 Ishaan’s leaf identifier was tested on 50 new leaf photos and got 44 right. What is its accuracy in percent?
35. 35.❌ Aarav’s fruit sorter was tested on 37 new fruit photos and got 31 right. How many did it get wrong?
36. 36.❌ Kabir’s handwriting reader was tested on 45 new handwritten letters and got 36 right. How many did it get wrong?
37. 37.🎯 Kabir’s leaf identifier is 90% accurate. If it is tested on 100 new leaf photos, how many should it get right?
38. 38.🎯 Arjun’s recycling sorter is 60% accurate. If it is tested on 30 new waste photos, how many should it get right?
39. 39.❌ Meera’s fruit sorter was tested on 43 new fruit photos and got 35 right. How many did it get wrong?
40. 40.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns

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