Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 154 · 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.🎯 Arjun’s handwriting reader was tested on 10 new handwritten letters and got 5 right. What is its accuracy in percent?
2. 2.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
3. 3.🎯 Saanvi’s recycling sorter is 50% accurate. If it is tested on 90 new waste photos, how many should it get right?
4. 4.❌ Arjun’s leaf identifier was tested on 40 new leaf photos and got 32 right. How many did it get wrong?
5. 5.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 46 right and Model B got 30 right. How many percentage points more accurate is Model A?
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
7. 7.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
8. 8.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 11 right. How many percentage points more accurate is Model A?
9. 9.❌ Tara’s fruit sorter was tested on 33 new fruit photos and got 30 right. How many did it get wrong?
10. 10.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
11. 11.🎯 Diya’s spam spotter is 80% accurate. If it is tested on 10 new messages, how many should it get right?
12. 12.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
13. 13.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
14. 14.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
15. 15.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) nothing at all (d) a secret password
16. 16.📦 Saanvi collected 150 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
17. 17.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
18. 18.📋 Planning an AI project: which comes first — collect fruit photos or choose what to sort? (a) collect fruit photos (b) choose what to sort
19. 19.📋 Planning an AI project: which comes first — split train and test or fix it and test again? (a) split train and test (b) fix it and test again
20. 20.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
21. 21.📦 Aarav collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
22. 22.🎯 Tara’s fruit sorter is 70% accurate. If it is tested on 40 new fruit photos, how many should it get right?
23. 23.🎯 Arjun’s spam spotter is 90% accurate. If it is tested on 30 new messages, how many should it get right?
24. 24.🎯 Aarav’s fruit sorter is 60% accurate. If it is tested on 60 new fruit photos, how many should it get right?
25. 25.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
26. 26.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 43 right and Model B got 33 right. How many percentage points more accurate is Model A?
27. 27.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
28. 28.🎯 Meera’s recycling sorter is 50% accurate. If it is tested on 20 new waste photos, how many should it get right?
29. 29.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again
30. 30.❌ Ishaan’s fruit sorter was tested on 34 new fruit photos and got 29 right. How many did it get wrong?
31. 31.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
32. 32.🎯 Aarav’s leaf identifier was tested on 20 new leaf photos and got 17 right. What is its accuracy in percent?
33. 33.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
34. 34.❌ Vihaan’s fruit sorter was tested on 27 new fruit photos and got 24 right. How many did it get wrong?
35. 35.🎯 Vihaan’s bird-song app is 50% accurate. If it is tested on 80 new bird songs, how many should it get right?
36. 36.📦 Ananya collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
37. 37.📦 Tara collected 190 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
38. 38.🎯 Meera’s handwriting reader is 60% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
39. 39.❌ Saanvi’s bird-song app was tested on 23 new bird songs and got 18 right. How many did it get wrong?
40. 40.🎯 Diya’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?

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