Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 185 · 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.🧪 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
2. 2.🎯 Tara’s spam spotter was tested on 20 new messages and got 11 right. What is its accuracy in percent?
3. 3.🎯 Kabir’s fruit sorter is 50% accurate. If it is tested on 40 new fruit photos, how many should it get right?
4. 4.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
5. 5.🎯 Tara’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
6. 6.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
7. 7.❌ Vihaan’s fruit sorter was tested on 18 new fruit photos and got 16 right. How many did it get wrong?
8. 8.❌ Diya’s recycling sorter was tested on 23 new waste photos and got 15 right. How many did it get wrong?
9. 9.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a new colour screen (d) a louder speaker
10. 10.📦 Meera collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
11. 11.📋 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
12. 12.🎯 Kabir’s leaf identifier was tested on 50 new leaf photos and got 29 right. What is its accuracy in percent?
13. 13.📦 Kabir collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
14. 14.📋 Planning an AI project: which comes first — fix it and test again or set aside test photos? (a) fix it and test again (b) set aside test photos
15. 15.📦 Meera collected 130 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 — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
17. 17.🎯 Rohan’s recycling sorter is 50% accurate. If it is tested on 30 new waste photos, how many should it get right?
18. 18.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 12 right and Model B got 11 right. How many percentage points more accurate is Model A?
19. 19.🎯 Ishaan’s leaf identifier is 50% accurate. If it is tested on 90 new leaf photos, how many should it get right?
20. 20.🎯 Saanvi’s spam spotter is 50% accurate. If it is tested on 40 new messages, how many should it get right?
21. 21.🎯 Ishaan’s fruit sorter is 60% accurate. If it is tested on 30 new fruit photos, how many should it get right?
22. 22.🎯 Tara’s leaf identifier is 80% accurate. If it is tested on 20 new leaf photos, how many should it get right?
23. 23.📋 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
24. 24.🧪 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
25. 25.📋 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
26. 26.📋 Planning an AI project: which comes first — let it learn patterns or label each example? (a) let it learn patterns (b) label each example
27. 27.❌ Ananya’s fruit sorter was tested on 25 new fruit photos and got 18 right. How many did it get wrong?
28. 28.📦 Nisha collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
29. 29.📋 Planning an AI project: which comes first — pick a question to solve or try unseen examples? (a) pick a question to solve (b) try unseen examples
30. 30.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest
31. 31.🎯 Aarav’s recycling sorter is 50% accurate. If it is tested on 70 new waste photos, how many should it get right?
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 — recheck every label or choose what to sort? (a) recheck every label (b) choose what to sort
34. 34.❌ Diya’s leaf identifier was tested on 28 new leaf photos and got 26 right. How many did it get wrong?
35. 35.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
36. 36.🎯 Ananya’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
37. 37.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
38. 38.❌ Kabir’s handwriting reader was tested on 28 new handwritten letters and got 19 right. How many did it get wrong?
39. 39.🎯 Arjun’s bird-song app is 50% accurate. If it is tested on 70 new bird songs, how many should it get right?
40. 40.📦 Rohan collected 200 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?

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