Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 116 · 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.❌ Meera’s handwriting reader was tested on 45 new handwritten letters and got 38 right. How many did it get wrong?
2. 2.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) total − correct (d) correct + total
3. 3.❌ Vihaan’s bird-song app was tested on 43 new bird songs and got 42 right. How many did it get wrong?
4. 4.🎯 Ishaan’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
5. 5.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 50 right and Model B got 41 right. How many percentage points more accurate is Model A?
6. 6.❌ Nisha’s leaf identifier was tested on 32 new leaf photos and got 31 right. How many did it get wrong?
7. 7.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) a new colour screen (d) fewer examples
8. 8.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
9. 9.🎯 Nisha’s leaf identifier was tested on 50 new leaf photos and got 33 right. What is its accuracy in percent?
10. 10.❌ Vihaan’s handwriting reader was tested on 49 new handwritten letters and got 42 right. How many did it get wrong?
11. 11.🎯 Saanvi’s spam spotter is 50% accurate. If it is tested on 50 new messages, how many should it get right?
12. 12.❌ Meera’s spam spotter was tested on 24 new messages and got 16 right. How many did it get wrong?
13. 13.🎯 Meera’s fruit sorter is 90% accurate. If it is tested on 40 new fruit photos, how many should it get right?
14. 14.🎯 Ananya’s spam spotter is 80% accurate. If it is tested on 20 new messages, how many should it get right?
15. 15.📦 Ishaan collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
16. 16.📦 Rohan collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
17. 17.📦 Aarav collected 120 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
18. 18.❌ Diya’s fruit sorter was tested on 23 new fruit photos and got 16 right. How many did it get wrong?
19. 19.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
20. 20.📋 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
21. 21.📋 Planning an AI project: which comes first — fix it and test again or correct bad labels? (a) fix it and test again (b) correct bad labels
22. 22.🎯 Arjun’s bird-song app is 80% accurate. If it is tested on 60 new bird songs, how many should it get right?
23. 23.🎯 Meera’s handwriting reader was tested on 20 new handwritten letters and got 16 right. What is its accuracy in percent?
24. 24.🎯 Diya’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
25. 25.❌ Ishaan’s fruit sorter was tested on 23 new fruit photos and got 20 right. How many did it get wrong?
26. 26.🎯 Saanvi’s fruit sorter was tested on 20 new fruit photos and got 15 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
28. 28.🎯 Arjun’s recycling sorter is 60% accurate. If it is tested on 10 new waste photos, how many should it get right?
29. 29.⚖️ 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?
30. 30.🎯 Nisha’s fruit sorter is 50% accurate. If it is tested on 30 new fruit 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.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 17 right and Model B got 13 right. How many percentage points more accurate is Model A?
33. 33.❌ Arjun’s fruit sorter was tested on 24 new fruit photos and got 15 right. How many did it get wrong?
34. 34.🎯 Ishaan’s recycling sorter was tested on 20 new waste photos and got 10 right. What is its accuracy in percent?
35. 35.❌ Tara’s leaf identifier was tested on 46 new leaf photos and got 44 right. How many did it get wrong?
36. 36.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) a secret password (d) only a big robot
37. 37.🎯 Ishaan’s handwriting reader is 80% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
38. 38.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
39. 39.❌ Kabir’s bird-song app was tested on 39 new bird songs and got 36 right. How many did it get wrong?
40. 40.🎯 Saanvi’s recycling sorter is 90% accurate. If it is tested on 40 new waste photos, how many should it get right?

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