Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 549 · 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.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total − correct (d) total × 2
2. 2.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
3. 3.🎯 Vihaan’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
4. 4.📦 Kabir collected 40 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
5. 5.❌ Diya’s bird-song app was tested on 35 new bird songs and got 34 right. How many did it get wrong?
6. 6.🎯 Ananya’s fruit sorter is 90% accurate. If it is tested on 60 new fruit photos, how many should it get right?
7. 7.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
8. 8.🎯 Diya’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
9. 9.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
10. 10.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) a secret password (d) only a big robot
11. 11.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
12. 12.🎯 Ananya’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
13. 13.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?
14. 14.📋 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
15. 15.📋 Planning an AI project: which comes first — calculate percent right or recheck every label? (a) calculate percent right (b) recheck every label
16. 16.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
17. 17.📦 Meera collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
18. 18.🎯 Meera’s recycling sorter is 90% accurate. If it is tested on 20 new waste photos, how many should it get right?
19. 19.🧪 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
20. 20.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
21. 21.🎯 Saanvi’s leaf identifier was tested on 25 new leaf photos and got 24 right. What is its accuracy in percent?
22. 22.📋 Planning an AI project: which comes first — fix it and test again or let it learn patterns? (a) fix it and test again (b) let it learn patterns
23. 23.🎯 Meera’s fruit sorter is 50% accurate. If it is tested on 70 new fruit photos, how many should it get right?
24. 24.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
25. 25.🎯 Tara’s spam spotter was tested on 10 new messages and got 7 right. What is its accuracy in percent?
26. 26.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
27. 27.📋 Planning an AI project: which comes first — recheck every label or try unseen examples? (a) recheck every label (b) try unseen examples
28. 28.📦 Saanvi collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
29. 29.📋 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
30. 30.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
31. 31.📋 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
32. 32.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
33. 33.🎯 Diya’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
34. 34.🎯 Aarav’s handwriting reader was tested on 20 new handwritten letters and got 12 right. What is its accuracy in percent?
35. 35.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
36. 36.❌ Ishaan’s fruit sorter was tested on 31 new fruit photos and got 29 right. How many did it get wrong?
37. 37.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
38. 38.🎯 Meera’s recycling sorter was tested on 50 new waste photos and got 37 right. What is its accuracy in percent?
39. 39.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
40. 40.🎯 Nisha’s handwriting reader is 70% accurate. If it is tested on 100 new handwritten letters, how many should it get right?

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