Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 585 · 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 collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
2. 2.🎯 Ishaan’s handwriting reader is 90% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
3. 3.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?
4. 4.🧪 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
5. 5.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
6. 6.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
7. 7.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
8. 8.📦 Tara collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
9. 9.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
10. 10.📋 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
11. 11.🎯 Aarav’s bird-song app is 90% accurate. If it is tested on 40 new bird songs, how many should it get right?
12. 12.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
13. 13.📋 Planning an AI project: which comes first — gather many examples or pick a question to solve? (a) gather many examples (b) pick a question to solve
14. 14.❌ Kabir’s spam spotter was tested on 38 new messages and got 37 right. How many did it get wrong?
15. 15.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 18 right and Model B got 16 right. How many percentage points more accurate is Model A?
16. 16.🎯 Rohan’s leaf identifier was tested on 25 new leaf photos and got 16 right. What is its accuracy in percent?
17. 17.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 18 right and Model B got 11 right. How many percentage points more accurate is Model A?
18. 18.📋 Planning an AI project: which comes first — label each example or let it learn patterns? (a) label each example (b) let it learn patterns
19. 19.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
20. 20.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) a secret password (d) nothing at all
21. 21.📦 Nisha collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
22. 22.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
23. 23.🎯 Vihaan’s handwriting reader is 80% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
24. 24.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
25. 25.📋 Planning an AI project: which comes first — gather many examples or label each example? (a) gather many examples (b) label each example
26. 26.🎯 Rohan’s bird-song app was tested on 25 new bird songs and got 13 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
28. 28.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
29. 29.🎯 Arjun’s leaf identifier was tested on 20 new leaf photos and got 18 right. What is its accuracy in percent?
30. 30.❌ Meera’s fruit sorter was tested on 36 new fruit photos and got 35 right. How many did it get wrong?
31. 31.🎯 Tara’s spam spotter is 70% accurate. If it is tested on 40 new messages, how many should it get right?
32. 32.❌ Kabir’s spam spotter was tested on 35 new messages and got 26 right. How many did it get wrong?
33. 33.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
34. 34.❌ Rohan’s fruit sorter was tested on 30 new fruit photos and got 29 right. How many did it get wrong?
35. 35.❌ Aarav’s bird-song app was tested on 23 new bird songs and got 14 right. How many did it get wrong?
36. 36.📦 Ananya collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
37. 37.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
38. 38.📦 Meera collected 150 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
39. 39.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 13 right and Model B got 10 right. How many percentage points more accurate is Model A?
40. 40.📋 Planning an AI project: which comes first — tag each photo by type or let it learn patterns? (a) tag each photo by type (b) let it learn patterns

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