Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 993 · 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.📋 Planning an AI project: which comes first — label each example or fix it and test again? (a) label each example (b) fix it and test again
2. 2.🎯 Nisha’s spam spotter is 80% accurate. If it is tested on 100 new messages, how many should it get right?
3. 3.🎯 Rohan’s leaf identifier is 90% accurate. If it is tested on 20 new leaf photos, how many should it get right?
4. 4.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
5. 5.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
6. 6.📦 Kabir collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
7. 7.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
8. 8.📦 Tara collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
9. 9.❌ Ananya’s fruit sorter was tested on 36 new fruit photos and got 29 right. How many did it get wrong?
10. 10.❌ Tara’s fruit sorter was tested on 30 new fruit photos and got 25 right. How many did it get wrong?
11. 11.🎯 Diya’s recycling sorter is 60% accurate. If it is tested on 60 new waste photos, how many should it get right?
12. 12.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
13. 13.📋 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
14. 14.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) nothing at all (d) paper and examples
15. 15.❌ Rohan’s handwriting reader was tested on 24 new handwritten letters and got 15 right. How many did it get wrong?
16. 16.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
17. 17.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to make it faster (d) to save paper
18. 18.❌ Saanvi’s fruit sorter was tested on 23 new fruit photos and got 19 right. How many did it get wrong?
19. 19.📦 Arjun collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
20. 20.📋 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
21. 21.🎯 Tara’s leaf identifier was tested on 20 new leaf photos and got 12 right. What is its accuracy in percent?
22. 22.📋 Planning an AI project: which comes first — pick a question to solve or gather many examples? (a) pick a question to solve (b) gather many examples
23. 23.📦 Ananya collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 Planning an AI project: which comes first — collect fruit photos or improve data, retest? (a) collect fruit photos (b) improve data, retest
25. 25.📋 Planning an AI project: which comes first — recheck every label or tag each photo by type? (a) recheck every label (b) tag each photo by type
26. 26.📋 Planning an AI project: which comes first — recheck every label or test on new photos? (a) recheck every label (b) test on new photos
27. 27.❌ Meera’s bird-song app was tested on 20 new bird songs and got 15 right. How many did it get wrong?
28. 28.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) a louder speaker (d) more labelled examples
29. 29.🎯 Kabir’s bird-song app was tested on 10 new bird songs and got 9 right. What is its accuracy in percent?
30. 30.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
31. 31.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
32. 32.📋 Planning an AI project: which comes first — gather many examples or recheck every label? (a) gather many examples (b) recheck every label
33. 33.📦 Ishaan collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
34. 34.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
35. 35.❌ Ananya’s fruit sorter was tested on 46 new fruit photos and got 37 right. How many did it get wrong?
36. 36.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
37. 37.❌ Tara’s fruit sorter was tested on 18 new fruit photos and got 14 right. How many did it get wrong?
38. 38.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
39. 39.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 38 right and Model B got 28 right. How many percentage points more accurate is Model A?
40. 40.🎯 Saanvi’s leaf identifier is 90% accurate. If it is tested on 30 new leaf photos, how many should it get right?

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