Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 191 · 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 — label each example or train the model? (a) label each example (b) train the model
2. 2.📦 Tara collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
3. 3.🎯 Arjun’s bird-song app is 70% accurate. If it is tested on 40 new bird songs, how many should it get right?
4. 4.📋 Planning an AI project: which comes first — split train and test or choose what to sort? (a) split train and test (b) choose what to sort
5. 5.🎯 Rohan’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
6. 6.🎯 Meera’s handwriting reader was tested on 20 new handwritten letters and got 14 right. What is its accuracy in percent?
7. 7.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 46 right and Model B got 42 right. How many percentage points more accurate is Model A?
8. 8.📦 Aarav collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
9. 9.🎯 Meera’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
10. 10.🎯 Kabir’s fruit sorter is 90% accurate. If it is tested on 80 new fruit photos, how many should it get right?
11. 11.🎯 Meera’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
12. 12.📋 Planning an AI project: which comes first — correct bad labels or fix it and test again? (a) correct bad labels (b) fix it and test again
13. 13.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 48 right and Model B got 47 right. How many percentage points more accurate is Model A?
14. 14.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) correct + total (d) total − correct
15. 15.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
16. 16.📦 Rohan collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
17. 17.🎯 Ananya’s spam spotter was tested on 20 new messages and got 19 right. What is its accuracy in percent?
18. 18.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
19. 19.📋 Planning an AI project: which comes first — set aside test photos or tag each photo by type? (a) set aside test photos (b) tag each photo by type
20. 20.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
21. 21.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 44 right and Model B got 43 right. How many percentage points more accurate is Model A?
22. 22.❌ Tara’s bird-song app was tested on 48 new bird songs and got 41 right. How many did it get wrong?
23. 23.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 36 right and Model B got 33 right. How many percentage points more accurate is Model A?
24. 24.❌ Meera’s handwriting reader was tested on 42 new handwritten letters and got 33 right. How many did it get wrong?
25. 25.🎯 Aarav’s spam spotter is 70% accurate. If it is tested on 40 new messages, how many should it get right?
26. 26.🎯 Rohan’s bird-song app was tested on 50 new bird songs and got 42 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — pick a question to solve or correct bad labels? (a) pick a question to solve (b) correct bad labels
28. 28.📋 Planning an AI project: which comes first — test on new photos or recheck every label? (a) test on new photos (b) recheck every label
29. 29.📦 Aarav collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
30. 30.📋 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
31. 31.❌ Tara’s handwriting reader was tested on 30 new handwritten letters and got 28 right. How many did it get wrong?
32. 32.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 22 right and Model B got 16 right. How many percentage points more accurate is Model A?
33. 33.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
34. 34.❌ Nisha’s bird-song app was tested on 37 new bird songs and got 31 right. How many did it get wrong?
35. 35.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
36. 36.🎯 Vihaan’s spam spotter was tested on 20 new messages and got 17 right. What is its accuracy in percent?
37. 37.🎯 Arjun’s bird-song app is 70% accurate. If it is tested on 10 new bird songs, how many should it get right?
38. 38.📋 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
39. 39.🎯 Tara’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
40. 40.📦 Ishaan collected 170 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?

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