Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 111 · 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.📦 Aarav collected 90 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
2. 2.📋 Planning an AI project: which comes first — set aside test photos or pick a question to solve? (a) set aside test photos (b) pick a question to solve
3. 3.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
4. 4.🎯 Tara’s fruit sorter is 90% accurate. If it is tested on 90 new fruit photos, how many should it get right?
5. 5.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
6. 6.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
7. 7.📋 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
8. 8.📋 Planning an AI project: which comes first — pick a question to solve or train the model? (a) pick a question to solve (b) train the model
9. 9.🎯 Meera’s handwriting reader is 50% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
10. 10.📋 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
11. 11.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it faster (d) to make it bigger
12. 12.🎯 Ishaan’s leaf identifier was tested on 20 new leaf photos and got 19 right. What is its accuracy in percent?
13. 13.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 42 right and Model B got 28 right. How many percentage points more accurate is Model A?
14. 14.📋 Planning an AI project: which comes first — pick a question to solve or test on new photos? (a) pick a question to solve (b) test on new photos
15. 15.🎯 Tara’s leaf identifier is 60% accurate. If it is tested on 50 new leaf photos, how many should it get right?
16. 16.📦 Arjun collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
17. 17.🎯 Saanvi’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
18. 18.🎯 Ananya’s handwriting reader is 70% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
19. 19.🎯 Saanvi’s fruit sorter is 70% accurate. If it is tested on 40 new fruit photos, how many should it get right?
20. 20.📋 Planning an AI project: which comes first — pick a question to solve or calculate percent right? (a) pick a question to solve (b) calculate percent right
21. 21.📦 Ishaan collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
22. 22.❌ Diya’s fruit sorter was tested on 21 new fruit photos and got 12 right. How many did it get wrong?
23. 23.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) paper and examples (d) nothing at all
24. 24.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
25. 25.🎯 Diya’s leaf identifier is 90% accurate. If it is tested on 20 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.🧪 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
28. 28.📋 Planning an AI project: which comes first — collect fruit photos or train the model? (a) collect fruit photos (b) train the model
29. 29.❌ Rohan’s leaf identifier was tested on 35 new leaf photos and got 34 right. How many did it get wrong?
30. 30.📋 Planning an AI project: which comes first — fix it and test again or gather many examples? (a) fix it and test again (b) gather many examples
31. 31.📋 Planning an AI project: which comes first — correct bad labels or fix it and test again? (a) correct bad labels (b) fix it and test again
32. 32.📦 Meera collected 70 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
33. 33.📦 Meera collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
34. 34.🎯 Tara’s recycling sorter is 60% accurate. If it is tested on 50 new waste photos, how many should it get right?
35. 35.🎯 Rohan’s bird-song app was tested on 20 new bird songs and got 13 right. What is its accuracy in percent?
36. 36.❌ Vihaan’s handwriting reader was tested on 32 new handwritten letters and got 25 right. How many did it get wrong?
37. 37.📋 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
38. 38.❌ Tara’s leaf identifier was tested on 48 new leaf photos and got 46 right. How many did it get wrong?
39. 39.📋 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
40. 40.🎯 Aarav’s handwriting reader is 70% accurate. If it is tested on 30 new handwritten letters, how many should it get right?

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