Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 269 · 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.❌ Diya’s handwriting reader was tested on 34 new handwritten letters and got 26 right. How many did it get wrong?
2. 2.🎯 Ananya’s spam spotter is 90% accurate. If it is tested on 50 new messages, how many should it get right?
3. 3.🎯 Meera’s spam spotter is 90% accurate. If it is tested on 100 new messages, how many should it get right?
4. 4.📦 Ananya collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
5. 5.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
6. 6.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
7. 7.❌ Rohan’s leaf identifier was tested on 21 new leaf photos and got 12 right. How many did it get wrong?
8. 8.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 18 right and Model B got 16 right. How many percentage points more accurate is Model A?
9. 9.🎯 Nisha’s bird-song app is 80% accurate. If it is tested on 50 new bird songs, how many should it get right?
10. 10.⚖️ 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?
11. 11.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
12. 12.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 16 right and Model B got 10 right. How many percentage points more accurate is Model A?
13. 13.🧪 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
14. 14.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
15. 15.🎯 Aarav’s recycling sorter is 90% accurate. If it is tested on 60 new waste photos, how many should it get right?
16. 16.📦 Kabir collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
17. 17.🎯 Meera’s bird-song app is 80% accurate. If it is tested on 60 new bird songs, how many should it get right?
18. 18.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 41 right and Model B got 39 right. How many percentage points more accurate is Model A?
19. 19.📦 Nisha collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
20. 20.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
21. 21.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
22. 22.📋 Planning an AI project: which comes first — test on new photos or tag each photo by type? (a) test on new photos (b) tag each photo by type
23. 23.🎯 Ishaan’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
24. 24.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
25. 25.🎯 Vihaan’s recycling sorter was tested on 10 new waste photos and got 10 right. What is its accuracy in percent?
26. 26.🧪 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
27. 27.📋 Planning an AI project: which comes first — let it learn patterns or gather many examples? (a) let it learn patterns (b) gather many examples
28. 28.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
29. 29.🎯 Aarav’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
30. 30.❌ Kabir’s recycling sorter was tested on 13 new waste photos and got 10 right. How many did it get wrong?
31. 31.❌ Tara’s leaf identifier was tested on 33 new leaf photos and got 30 right. How many did it get wrong?
32. 32.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 50 right and Model B got 49 right. How many percentage points more accurate is Model A?
33. 33.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to make it faster (d) to see if it learned
34. 34.🎯 Saanvi’s recycling sorter is 80% accurate. If it is tested on 100 new waste photos, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
36. 36.📋 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
37. 37.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
38. 38.📦 Rohan collected 100 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
39. 39.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 38 right and Model B got 34 right. How many percentage points more accurate is Model A?
40. 40.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 31 right and Model B got 27 right. How many percentage points more accurate is Model A?

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