Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 84 · 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.🧪 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
2. 2.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 47 right and Model B got 46 right. How many percentage points more accurate is Model A?
3. 3.❌ Kabir’s leaf identifier was tested on 17 new leaf photos and got 15 right. How many did it get wrong?
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 make it bigger (d) to save paper
5. 5.📦 Meera collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
6. 6.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 42 right and Model B got 26 right. How many percentage points more accurate is Model A?
7. 7.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 42 right and Model B got 41 right. How many percentage points more accurate is Model A?
8. 8.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
9. 9.📋 Planning an AI project: which comes first — test on new photos or collect fruit photos? (a) test on new photos (b) collect fruit photos
10. 10.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
11. 11.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 36 right and Model B got 28 right. How many percentage points more accurate is Model A?
12. 12.📋 Planning an AI project: which comes first — let it learn patterns or pick a question to solve? (a) let it learn patterns (b) pick a question to solve
13. 13.🎯 Diya’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
14. 14.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) correct + total (d) total × 2
15. 15.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
16. 16.🎯 Nisha’s bird-song app is 80% accurate. If it is tested on 70 new bird songs, how many should it get right?
17. 17.🎯 Ishaan’s bird-song app was tested on 20 new bird songs and got 14 right. What is its accuracy in percent?
18. 18.📦 Ishaan collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Ananya’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
20. 20.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 42 right and Model B got 39 right. How many percentage points more accurate is Model A?
21. 21.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
22. 22.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) more labelled examples (d) fewer examples
23. 23.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
24. 24.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 15 right and Model B got 12 right. How many percentage points more accurate is Model A?
25. 25.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
26. 26.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
27. 27.❌ Diya’s recycling sorter was tested on 15 new waste photos and got 11 right. How many did it get wrong?
28. 28.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
29. 29.📋 Planning an AI project: which comes first — calculate percent right or tag each photo by type? (a) calculate percent right (b) tag each photo by type
30. 30.❌ Tara’s leaf identifier was tested on 40 new leaf photos and got 33 right. How many did it get wrong?
31. 31.📋 Planning an AI project: which comes first — train the model or tag each photo by type? (a) train the model (b) tag each photo by type
32. 32.🎯 Tara’s recycling sorter was tested on 20 new waste photos and got 13 right. What is its accuracy in percent?
33. 33.🎯 Saanvi’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
34. 34.📋 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
35. 35.📋 Planning an AI project: which comes first — try unseen examples or recheck every label? (a) try unseen examples (b) recheck every label
36. 36.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 34 right and Model B got 29 right. How many percentage points more accurate is Model A?
37. 37.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 12 right and Model B got 10 right. How many percentage points more accurate is Model A?
38. 38.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
39. 39.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
40. 40.📦 Ananya collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?

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