Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 846 · 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.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
2. 2.📦 Diya collected 200 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
3. 3.📦 Tara collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
4. 4.📋 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
5. 5.🎯 Kabir’s bird-song app was tested on 10 new bird songs and got 8 right. What is its accuracy in percent?
6. 6.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
7. 7.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 23 right and Model B got 22 right. How many percentage points more accurate is Model A?
8. 8.📋 Planning an AI project: which comes first — calculate percent right or gather many examples? (a) calculate percent right (b) gather many examples
9. 9.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
10. 10.🎯 Saanvi’s fruit sorter is 50% accurate. If it is tested on 40 new fruit photos, how many should it get right?
11. 11.📋 Planning an AI project: which comes first — gather many examples or label each example? (a) gather many examples (b) label each example
12. 12.❌ Saanvi’s bird-song app was tested on 20 new bird songs and got 18 right. How many did it get wrong?
13. 13.📦 Vihaan collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
14. 14.🎯 Vihaan’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
15. 15.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 50 right and Model B got 49 right. How many percentage points more accurate is Model A?
16. 16.🎯 Ananya’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
17. 17.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
18. 18.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
19. 19.📋 Planning an AI project: which comes first — label each example or calculate percent right? (a) label each example (b) calculate percent right
20. 20.🎯 Tara’s handwriting reader is 50% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
21. 21.🎯 Arjun’s spam spotter is 70% accurate. If it is tested on 90 new messages, how many should it get right?
22. 22.📋 Planning an AI project: which comes first — pick a question to solve or tag each photo by type? (a) pick a question to solve (b) tag each photo by type
23. 23.📋 Planning an AI project: which comes first — gather many examples or set aside test photos? (a) gather many examples (b) set aside test photos
24. 24.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
25. 25.🎯 Rohan’s spam spotter was tested on 10 new messages and got 8 right. What is its accuracy in percent?
26. 26.❌ Ananya’s bird-song app was tested on 37 new bird songs and got 29 right. How many did it get wrong?
27. 27.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 22 right and Model B got 13 right. How many percentage points more accurate is Model A?
28. 28.📦 Arjun collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
29. 29.📋 Planning an AI project: which comes first — tag each photo by type or correct bad labels? (a) tag each photo by type (b) correct bad labels
30. 30.🎯 Tara’s leaf identifier is 60% accurate. If it is tested on 40 new leaf photos, how many should it get right?
31. 31.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
32. 32.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
33. 33.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
34. 34.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
35. 35.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
36. 36.📦 Tara collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.📦 Aarav collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
38. 38.❌ Vihaan’s bird-song app was tested on 22 new bird songs and got 15 right. How many did it get wrong?
39. 39.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
40. 40.🎯 Tara’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?

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