Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 478 · 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.❌ Ananya’s spam spotter was tested on 42 new messages and got 34 right. How many did it get wrong?
2. 2.🎯 Aarav’s bird-song app was tested on 10 new bird songs and got 6 right. What is its accuracy in percent?
3. 3.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 46 right and Model B got 31 right. How many percentage points more accurate is Model A?
4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it bigger (d) to make it faster
5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) more labelled examples (d) a louder speaker
6. 6.❌ Meera’s recycling sorter was tested on 41 new waste photos and got 39 right. How many did it get wrong?
7. 7.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
8. 8.🎯 Ishaan’s handwriting reader is 50% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
9. 9.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
10. 10.📋 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
11. 11.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
12. 12.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
13. 13.🎯 Nisha’s bird-song app was tested on 10 new bird songs and got 6 right. What is its accuracy in percent?
14. 14.🎯 Meera’s spam spotter was tested on 50 new messages and got 31 right. What is its accuracy in percent?
15. 15.📋 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
16. 16.📦 Vihaan collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
17. 17.📦 Saanvi collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
18. 18.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) nothing at all (d) a secret password
19. 19.🎯 Aarav’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
20. 20.🎯 Ishaan’s bird-song app was tested on 20 new bird songs and got 16 right. What is its accuracy in percent?
21. 21.📋 Planning an AI project: which comes first — collect fruit photos or work out the accuracy? (a) collect fruit photos (b) work out the accuracy
22. 22.🎯 Meera’s bird-song app is 60% accurate. If it is tested on 70 new bird songs, how many should it get right?
23. 23.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
24. 24.📋 Planning an AI project: which comes first — split train and test or gather many examples? (a) split train and test (b) gather many examples
25. 25.🎯 Ananya’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
26. 26.📋 Planning an AI project: which comes first — correct bad labels or choose what to sort? (a) correct bad labels (b) choose what to sort
27. 27.📋 Planning an AI project: which comes first — improve data, retest or pick a question to solve? (a) improve data, retest (b) pick a question to solve
28. 28.🎯 Kabir’s spam spotter is 70% accurate. If it is tested on 20 new messages, how many should it get right?
29. 29.❌ Saanvi’s leaf identifier was tested on 38 new leaf photos and got 36 right. How many did it get wrong?
30. 30.📋 Planning an AI project: which comes first — work out the accuracy or tag each photo by type? (a) work out the accuracy (b) tag each photo by type
31. 31.📦 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?
32. 32.❌ Diya’s spam spotter was tested on 48 new messages and got 40 right. How many did it get wrong?
33. 33.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
34. 34.📦 Ishaan collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
35. 35.📦 Tara collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
36. 36.🎯 Vihaan’s leaf identifier is 80% accurate. If it is tested on 90 new leaf photos, how many should it get right?
37. 37.🎯 Tara’s leaf identifier was tested on 10 new leaf photos and got 5 right. What is its accuracy in percent?
38. 38.🎯 Diya’s leaf identifier is 90% accurate. If it is tested on 80 new leaf photos, how many should it get right?
39. 39.❌ Nisha’s leaf identifier was tested on 49 new leaf photos and got 47 right. How many did it get wrong?
40. 40.📦 Tara collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?

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