Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 542 · 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.📦 Kabir collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
3. 3.🎯 Ishaan’s recycling sorter is 90% accurate. If it is tested on 50 new waste photos, how many should it get right?
4. 4.🧪 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
5. 5.🧪 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 save paper (d) to make it faster
6. 6.❌ Tara’s recycling sorter was tested on 48 new waste photos and got 46 right. How many did it get wrong?
7. 7.📋 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
8. 8.🎯 Ananya’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
9. 9.❌ Ishaan’s leaf identifier was tested on 43 new leaf photos and got 41 right. How many did it get wrong?
10. 10.🎯 Tara’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
11. 11.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
12. 12.📦 Saanvi collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
13. 13.📋 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
14. 14.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
15. 15.🎯 Vihaan’s handwriting reader is 60% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
16. 16.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
17. 17.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 44 right and Model B got 42 right. How many percentage points more accurate is Model A?
18. 18.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
19. 19.📋 Planning an AI project: which comes first — collect fruit photos or try unseen examples? (a) collect fruit photos (b) try unseen examples
20. 20.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
21. 21.❌ Meera’s leaf identifier was tested on 30 new leaf photos and got 25 right. How many did it get wrong?
22. 22.🎯 Saanvi’s fruit sorter is 50% accurate. If it is tested on 90 new fruit photos, how many should it get right?
23. 23.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again
24. 24.📋 Planning an AI project: which comes first — work out the accuracy or tag each photo by type? (a) work out the accuracy (b) tag each photo by type
25. 25.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
26. 26.❌ Meera’s handwriting reader was tested on 46 new handwritten letters and got 43 right. How many did it get wrong?
27. 27.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
28. 28.🎯 Arjun’s bird-song app is 70% accurate. If it is tested on 80 new bird songs, how many should it get right?
29. 29.📦 Vihaan collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
30. 30.❌ Tara’s spam spotter was tested on 35 new messages and got 31 right. How many did it get wrong?
31. 31.❌ Vihaan’s recycling sorter was tested on 42 new waste photos and got 40 right. How many did it get wrong?
32. 32.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
33. 33.🎯 Vihaan’s fruit sorter is 50% accurate. If it is tested on 100 new fruit photos, how many should it get right?
34. 34.🎯 Aarav’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
35. 35.📋 Planning an AI project: which comes first — gather many examples or tag each photo by type? (a) gather many examples (b) tag each photo by type
36. 36.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
37. 37.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 15 right and Model B got 14 right. How many percentage points more accurate is Model A?
38. 38.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
39. 39.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
40. 40.📦 Diya collected 70 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?

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