Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 504 · 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.🎯 Rohan’s leaf identifier is 80% accurate. If it is tested on 60 new leaf photos, how many should it get right?
2. 2.📦 Kabir collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to make it bigger (d) to save paper
4. 4.🎯 Saanvi’s recycling sorter is 80% accurate. If it is tested on 60 new waste photos, how many should it get right?
5. 5.📦 Rohan collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
6. 6.📋 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
7. 7.🎯 Meera’s handwriting reader is 90% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
8. 8.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) nothing at all (d) only a big robot
9. 9.🎯 Nisha’s fruit sorter was tested on 20 new fruit photos and got 14 right. What is its accuracy in percent?
10. 10.📦 Ishaan collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
11. 11.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
12. 12.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
13. 13.❌ Rohan’s recycling sorter was tested on 16 new waste photos and got 13 right. How many did it get wrong?
14. 14.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
15. 15.📋 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
16. 16.🎯 Nisha’s recycling sorter is 50% accurate. If it is tested on 50 new waste photos, how many should it get right?
17. 17.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
18. 18.🎯 Arjun’s bird-song app is 70% accurate. If it is tested on 100 new bird songs, how many should it get right?
19. 19.🎯 Meera’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
20. 20.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 14 right. How many percentage points more accurate is Model A?
21. 21.❌ Saanvi’s handwriting reader was tested on 34 new handwritten letters and got 28 right. How many did it get wrong?
22. 22.📋 Planning an AI project: which comes first — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
23. 23.🎯 Nisha’s recycling sorter is 90% accurate. If it is tested on 60 new waste photos, how many should it get right?
24. 24.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 18 right and Model B got 15 right. How many percentage points more accurate is Model A?
25. 25.📋 Planning an AI project: which comes first — fix it and test again or collect fruit photos? (a) fix it and test again (b) collect fruit photos
26. 26.❌ Kabir’s fruit sorter was tested on 50 new fruit photos and got 42 right. How many did it get wrong?
27. 27.🎯 Diya’s spam spotter was tested on 25 new messages and got 13 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
29. 29.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
30. 30.📦 Arjun collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
31. 31.❌ Kabir’s fruit sorter was tested on 35 new fruit photos and got 27 right. How many did it get wrong?
32. 32.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
33. 33.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
34. 34.❌ Meera’s leaf identifier was tested on 39 new leaf photos and got 30 right. How many did it get wrong?
35. 35.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
36. 36.📋 Planning an AI project: which comes first — tag each photo by type or improve data, retest? (a) tag each photo by type (b) improve data, retest
37. 37.🎯 Aarav’s handwriting reader is 60% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
38. 38.❌ Tara’s leaf identifier was tested on 41 new leaf photos and got 35 right. How many did it get wrong?
39. 39.📋 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
40. 40.📋 Planning an AI project: which comes first — let it learn patterns or label each example? (a) let it learn patterns (b) label each example

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