Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 540 · 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 calculate percent right? (a) try unseen examples (b) calculate percent right
2. 2.🎯 Rohan’s fruit sorter was tested on 25 new fruit photos and got 15 right. What is its accuracy in percent?
3. 3.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
4. 4.🧪 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
5. 5.🧪 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
6. 6.🎯 Saanvi’s handwriting reader was tested on 50 new handwritten letters and got 37 right. What is its accuracy in percent?
7. 7.📋 Planning an AI project: which comes first — tag each photo by type or fix it and test again? (a) tag each photo by type (b) fix it and test again
8. 8.📋 Planning an AI project: which comes first — collect fruit photos or train the model? (a) collect fruit photos (b) train the model
9. 9.🎯 Kabir’s recycling sorter is 80% accurate. If it is tested on 90 new waste photos, how many should it get right?
10. 10.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
11. 11.🎯 Saanvi’s spam spotter was tested on 20 new messages and got 12 right. What is its accuracy in percent?
12. 12.📋 Planning an AI project: which comes first — let it learn patterns or collect fruit photos? (a) let it learn patterns (b) collect fruit photos
13. 13.❌ Nisha’s leaf identifier was tested on 44 new leaf photos and got 42 right. How many did it get wrong?
14. 14.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve
15. 15.❌ Rohan’s fruit sorter was tested on 26 new fruit photos and got 18 right. How many did it get wrong?
16. 16.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
17. 17.🎯 Kabir’s handwriting reader is 90% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
18. 18.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
19. 19.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
20. 20.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
21. 21.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
22. 22.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 21 right and Model B got 18 right. How many percentage points more accurate is Model A?
23. 23.📋 Planning an AI project: which comes first — recheck every label or fix it and test again? (a) recheck every label (b) fix it and test again
24. 24.📋 Planning an AI project: which comes first — set aside test photos or choose what to sort? (a) set aside test photos (b) choose what to sort
25. 25.📦 Rohan collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
26. 26.❌ Saanvi’s spam spotter was tested on 25 new messages and got 21 right. How many did it get wrong?
27. 27.❌ Ishaan’s bird-song app was tested on 20 new bird songs and got 18 right. How many did it get wrong?
28. 28.📋 Planning an AI project: which comes first — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
29. 29.🎯 Tara’s spam spotter is 50% accurate. If it is tested on 50 new messages, how many should it get right?
30. 30.📦 Kabir collected 130 labelled handwritten letters for a handwriting reader 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 20 waste photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
32. 32.📋 Planning an AI project: which comes first — choose what to sort or tag each photo by type? (a) choose what to sort (b) tag each photo by type
33. 33.📦 Tara collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
34. 34.🎯 Ishaan’s spam spotter was tested on 20 new messages and got 12 right. What is its accuracy in percent?
35. 35.📦 Saanvi collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
36. 36.📦 Diya collected 90 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total × 2 (d) total − correct
38. 38.❌ Nisha’s leaf identifier was tested on 44 new leaf photos and got 41 right. How many did it get wrong?
39. 39.📋 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
40. 40.🎯 Aarav’s bird-song app was tested on 25 new bird songs and got 23 right. What is its accuracy in percent?

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