Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 576 · 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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) a louder speaker (d) more labelled examples
2. 2.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 18 right and Model B got 16 right. How many percentage points more accurate is Model A?
3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
4. 4.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) correct + total (d) total − correct
5. 5.🎯 Ananya’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
6. 6.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
7. 7.🎯 Ishaan’s spam spotter is 80% accurate. If it is tested on 30 new messages, how many should it get right?
8. 8.🎯 Ishaan’s recycling sorter was tested on 50 new waste photos and got 26 right. What is its accuracy in percent?
9. 9.📦 Aarav collected 50 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
10. 10.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
11. 11.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
12. 12.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
13. 13.📦 Ananya collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
14. 14.🎯 Rohan’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
15. 15.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
16. 16.🎯 Tara’s fruit sorter is 70% accurate. If it is tested on 20 new fruit photos, how many should it get right?
17. 17.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 15 right and Model B got 12 right. How many percentage points more accurate is Model A?
18. 18.📦 Aarav collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.📋 Planning an AI project: which comes first — collect fruit photos or train the model? (a) collect fruit photos (b) train the model
20. 20.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
21. 21.❌ Nisha’s spam spotter was tested on 14 new messages and got 13 right. How many did it get wrong?
22. 22.🎯 Kabir’s leaf identifier was tested on 25 new leaf photos and got 15 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
24. 24.❌ Arjun’s bird-song app was tested on 49 new bird songs and got 43 right. How many did it get wrong?
25. 25.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
26. 26.📋 Planning an AI project: which comes first — test on new photos or gather many examples? (a) test on new photos (b) gather many examples
27. 27.📦 Tara collected 150 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
28. 28.🎯 Ananya’s recycling sorter was tested on 10 new waste photos and got 9 right. What is its accuracy in percent?
29. 29.🎯 Kabir’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
30. 30.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
31. 31.📋 Planning an AI project: which comes first — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
32. 32.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
33. 33.🎯 Ishaan’s recycling sorter is 70% accurate. If it is tested on 70 new waste photos, how many should it get right?
34. 34.🎯 Meera’s bird-song app is 90% accurate. If it is tested on 90 new bird songs, how many should it get right?
35. 35.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
36. 36.🎯 Vihaan’s handwriting reader is 60% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
37. 37.🎯 Meera’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
38. 38.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 24 right and Model B got 13 right. How many percentage points more accurate is Model A?
39. 39.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
40. 40.📋 Planning an AI project: which comes first — recheck every label or choose what to sort? (a) recheck every label (b) choose what to sort

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