Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 557 · 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 — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
2. 2.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
3. 3.📋 Planning an AI project: which comes first — choose what to sort or train the model? (a) choose what to sort (b) train the model
4. 4.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total × 2 (d) total − correct
5. 5.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
7. 7.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
8. 8.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
9. 9.❌ Meera’s fruit sorter was tested on 26 new fruit photos and got 18 right. How many did it get wrong?
10. 10.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
11. 11.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 45 right and Model B got 43 right. How many percentage points more accurate is Model A?
12. 12.❌ Nisha’s fruit sorter was tested on 50 new fruit photos and got 43 right. How many did it get wrong?
13. 13.🎯 Tara’s leaf identifier is 50% accurate. If it is tested on 20 new leaf photos, how many should it get right?
14. 14.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) fewer examples (d) a louder speaker
15. 15.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
16. 16.📦 Ananya collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
17. 17.📦 Kabir collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
18. 18.🎯 Tara’s bird-song app was tested on 20 new bird songs and got 20 right. What is its accuracy in percent?
19. 19.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
20. 20.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 12 right and Model B got 10 right. How many percentage points more accurate is Model A?
21. 21.❌ Meera’s fruit sorter was tested on 22 new fruit photos and got 20 right. How many did it get wrong?
22. 22.📦 Kabir collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
23. 23.🎯 Saanvi’s fruit sorter is 60% accurate. If it is tested on 30 new fruit photos, how many should it get right?
24. 24.❌ Tara’s recycling sorter was tested on 25 new waste photos and got 16 right. How many did it get wrong?
25. 25.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
26. 26.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
27. 27.❌ Vihaan’s leaf identifier was tested on 15 new leaf photos and got 12 right. How many did it get wrong?
28. 28.📦 Saanvi collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
29. 29.📦 Nisha collected 110 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
30. 30.🎯 Aarav’s handwriting reader is 60% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
31. 31.❌ Nisha’s fruit sorter was tested on 42 new fruit photos and got 41 right. How many did it get wrong?
32. 32.❌ Meera’s recycling sorter was tested on 34 new waste photos and got 33 right. How many did it get wrong?
33. 33.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
34. 34.📋 Planning an AI project: which comes first — label each example or train the model? (a) label each example (b) train the model
35. 35.🎯 Nisha’s bird-song app is 70% accurate. If it is tested on 20 new bird songs, how many should it get right?
36. 36.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
37. 37.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
38. 38.🎯 Ananya’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
39. 39.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
40. 40.🎯 Rohan’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?

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