Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 279 · 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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
2. 2.🎯 Tara’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
3. 3.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest
4. 4.🎯 Rohan’s fruit sorter was tested on 25 new fruit photos and got 14 right. What is its accuracy in percent?
5. 5.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 43 right and Model B got 28 right. How many percentage points more accurate is Model A?
6. 6.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) a secret password (d) nothing at all
7. 7.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns
8. 8.❌ Arjun’s recycling sorter was tested on 19 new waste photos and got 16 right. How many did it get wrong?
9. 9.🎯 Aarav’s fruit sorter was tested on 50 new fruit photos and got 43 right. What is its accuracy in percent?
10. 10.🎯 Tara’s leaf identifier is 80% accurate. If it is tested on 30 new leaf photos, how many should it get right?
11. 11.🎯 Arjun’s handwriting reader is 50% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
12. 12.📋 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
13. 13.🎯 Arjun’s bird-song app is 50% accurate. If it is tested on 70 new bird songs, how many should it get right?
14. 14.📋 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
15. 15.📦 Ananya collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
16. 16.📋 Planning an AI project: which comes first — choose what to sort or try unseen examples? (a) choose what to sort (b) try unseen examples
17. 17.❌ Diya’s leaf identifier was tested on 31 new leaf photos and got 27 right. How many did it get wrong?
18. 18.📦 Vihaan collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.📋 Planning an AI project: which comes first — tag each photo by type or choose what to sort? (a) tag each photo by type (b) choose what to sort
20. 20.❌ Vihaan’s fruit sorter was tested on 44 new fruit photos and got 35 right. How many did it get wrong?
21. 21.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 32 right and Model B got 29 right. How many percentage points more accurate is Model A?
22. 22.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
23. 23.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to make it bigger (d) to save paper
24. 24.📦 Arjun collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
25. 25.🎯 Saanvi’s leaf identifier is 70% accurate. If it is tested on 10 new leaf photos, how many should it get right?
26. 26.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
27. 27.🎯 Rohan’s fruit sorter was tested on 20 new fruit photos and got 15 right. What is its accuracy in percent?
28. 28.🎯 Vihaan’s fruit sorter is 50% accurate. If it is tested on 80 new fruit photos, how many should it get right?
29. 29.🎯 Kabir’s leaf identifier is 50% accurate. If it is tested on 70 new leaf photos, how many should it get right?
30. 30.❌ Saanvi’s leaf identifier was tested on 18 new leaf photos and got 16 right. How many did it get wrong?
31. 31.❌ Diya’s fruit sorter was tested on 39 new fruit photos and got 35 right. How many did it get wrong?
32. 32.🎯 Diya’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — gather many examples or choose what to sort? (a) gather many examples (b) choose what to sort
34. 34.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 13 right. How many percentage points more accurate is Model A?
35. 35.📋 Planning an AI project: which comes first — set aside test photos or test on new photos? (a) set aside test photos (b) test on new photos
36. 36.📦 Rohan collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
37. 37.🎯 Nisha’s fruit sorter was tested on 50 new fruit photos and got 33 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — try unseen examples or pick a question to solve? (a) try unseen examples (b) pick a question to solve
39. 39.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
40. 40.📋 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

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