Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 978 · 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.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 46 right and Model B got 27 right. How many percentage points more accurate is Model A?
2. 2.🎯 Saanvi’s handwriting reader is 90% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
3. 3.📋 Planning an AI project: which comes first — choose what to sort or let it learn patterns? (a) choose what to sort (b) let it learn patterns
4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to see if it learned (d) to save paper
5. 5.🧪 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
6. 6.📋 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
7. 7.❌ Meera’s leaf identifier was tested on 21 new leaf photos and got 17 right. How many did it get wrong?
8. 8.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
9. 9.📋 Planning an AI project: which comes first — tag each photo by type or set aside test photos? (a) tag each photo by type (b) set aside test photos
10. 10.🎯 Rohan’s spam spotter was tested on 10 new messages and got 9 right. What is its accuracy in percent?
11. 11.🎯 Vihaan’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
12. 12.❌ Vihaan’s bird-song app was tested on 21 new bird songs and got 12 right. How many did it get wrong?
13. 13.🎯 Aarav’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
14. 14.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
15. 15.📋 Planning an AI project: which comes first — collect fruit photos or split train and test? (a) collect fruit photos (b) split train and test
16. 16.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
17. 17.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
18. 18.❌ Vihaan’s leaf identifier was tested on 17 new leaf photos and got 14 right. How many did it get wrong?
19. 19.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
20. 20.📦 Arjun collected 120 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
21. 21.📦 Saanvi collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
22. 22.🎯 Arjun’s recycling sorter is 90% accurate. If it is tested on 100 new waste photos, how many should it get right?
23. 23.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
24. 24.🎯 Arjun’s bird-song app was tested on 10 new bird songs and got 10 right. What is its accuracy in percent?
25. 25.📋 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
26. 26.📦 Tara collected 140 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
27. 27.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 19 right and Model B got 12 right. How many percentage points more accurate is Model A?
28. 28.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a new colour screen (d) a louder speaker
29. 29.📋 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
30. 30.📋 Planning an AI project: which comes first — fix it and test again or tag each photo by type? (a) fix it and test again (b) tag each photo by type
31. 31.📦 Aarav collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
32. 32.❌ Vihaan’s bird-song app was tested on 41 new bird songs and got 36 right. How many did it get wrong?
33. 33.🎯 Diya’s recycling sorter is 50% accurate. If it is tested on 60 new waste photos, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
35. 35.📦 Meera collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
36. 36.❌ Arjun’s fruit sorter was tested on 17 new fruit photos and got 10 right. How many did it get wrong?
37. 37.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
38. 38.🎯 Tara’s fruit sorter is 80% accurate. If it is tested on 80 new fruit photos, how many should it get right?
39. 39.❌ Ishaan’s leaf identifier was tested on 40 new leaf photos and got 32 right. How many did it get wrong?
40. 40.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples

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