Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 746 · 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 — try unseen examples or train the model? (a) try unseen examples (b) train the model
2. 2.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to save paper (d) to make it bigger
3. 3.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
4. 4.🎯 Tara’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
5. 5.🎯 Aarav’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
6. 6.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) only a big robot (d) nothing at all
7. 7.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
8. 8.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
9. 9.❌ Vihaan’s fruit sorter was tested on 23 new fruit photos and got 14 right. How many did it get wrong?
10. 10.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
11. 11.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) fewer examples (d) a new colour screen
12. 12.🎯 Meera’s recycling sorter is 90% accurate. If it is tested on 30 new waste photos, how many should it get right?
13. 13.📋 Planning an AI project: which comes first — test on new photos or split train and test? (a) test on new photos (b) split train and test
14. 14.❌ Ishaan’s leaf identifier was tested on 17 new leaf photos and got 14 right. How many did it get wrong?
15. 15.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
16. 16.🎯 Tara’s leaf identifier is 90% accurate. If it is tested on 70 new leaf photos, how many should it get right?
17. 17.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
18. 18.🎯 Rohan’s leaf identifier is 70% accurate. If it is tested on 50 new leaf photos, how many should it get right?
19. 19.🎯 Vihaan’s fruit sorter was tested on 50 new fruit photos and got 33 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
21. 21.🎯 Ishaan’s recycling sorter is 90% accurate. If it is tested on 90 new waste photos, how many should it get right?
22. 22.📦 Aarav collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
23. 23.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
24. 24.🎯 Saanvi’s bird-song app is 80% accurate. If it is tested on 20 new bird songs, how many should it get right?
25. 25.🎯 Kabir’s recycling sorter is 90% accurate. If it is tested on 10 new waste photos, how many should it get right?
26. 26.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 50 right and Model B got 41 right. How many percentage points more accurate is Model A?
27. 27.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
28. 28.🎯 Kabir’s fruit sorter is 80% accurate. If it is tested on 100 new fruit photos, how many should it get right?
29. 29.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
30. 30.📦 Tara collected 170 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
31. 31.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
32. 32.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
33. 33.📦 Arjun collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
34. 34.📦 Kabir collected 170 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
35. 35.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
36. 36.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest
37. 37.❌ Vihaan’s handwriting reader was tested on 20 new handwritten letters and got 14 right. How many did it get wrong?
38. 38.❌ Arjun’s leaf identifier was tested on 18 new leaf photos and got 16 right. How many did it get wrong?
39. 39.📦 Kabir collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
40. 40.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 37 right and Model B got 35 right. How many percentage points more accurate is Model A?

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