Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 770 · 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.❌ Rohan’s leaf identifier was tested on 16 new leaf photos and got 14 right. How many did it get wrong?
2. 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a new colour screen (d) a louder speaker
3. 3.🎯 Kabir’s handwriting reader was tested on 20 new handwritten letters and got 20 right. What is its accuracy in percent?
4. 4.🧪 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
5. 5.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
6. 6.🎯 Rohan’s spam spotter was tested on 25 new messages and got 13 right. What is its accuracy in percent?
7. 7.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
8. 8.❌ Meera’s bird-song app was tested on 48 new bird songs and got 43 right. How many did it get wrong?
9. 9.📋 Planning an AI project: which comes first — gather many examples or choose what to sort? (a) gather many examples (b) choose what to sort
10. 10.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
11. 11.📋 Planning an AI project: which comes first — fix it and test again or set aside test photos? (a) fix it and test again (b) set aside test photos
12. 12.❌ Ananya’s handwriting reader was tested on 28 new handwritten letters and got 20 right. How many did it get wrong?
13. 13.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it faster (d) to make it bigger
14. 14.📋 Planning an AI project: which comes first — let it learn patterns or correct bad labels? (a) let it learn patterns (b) correct bad labels
15. 15.🎯 Rohan’s recycling sorter is 90% accurate. If it is tested on 10 new waste photos, how many should it get right?
16. 16.📦 Aarav collected 190 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
17. 17.❌ Diya’s fruit sorter was tested on 16 new fruit photos and got 15 right. How many did it get wrong?
18. 18.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve
19. 19.📦 Vihaan collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
20. 20.📋 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
21. 21.❌ Vihaan’s bird-song app was tested on 49 new bird songs and got 40 right. How many did it get wrong?
22. 22.❌ Meera’s leaf identifier was tested on 25 new leaf photos and got 17 right. How many did it get wrong?
23. 23.🎯 Aarav’s spam spotter was tested on 50 new messages and got 42 right. What is its accuracy in percent?
24. 24.📋 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
25. 25.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
26. 26.🎯 Vihaan’s handwriting reader is 80% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
27. 27.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
28. 28.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
29. 29.📋 Planning an AI project: which comes first — split train and test or gather many examples? (a) split train and test (b) gather many examples
30. 30.❌ Aarav’s bird-song app was tested on 11 new bird songs and got 10 right. How many did it get wrong?
31. 31.🎯 Rohan’s fruit sorter was tested on 50 new fruit photos and got 38 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — recheck every label or try unseen examples? (a) recheck every label (b) try unseen examples
33. 33.❌ Meera’s bird-song app was tested on 19 new bird songs and got 14 right. How many did it get wrong?
34. 34.🎯 Diya’s bird-song app was tested on 10 new bird songs and got 7 right. What is its accuracy in percent?
35. 35.🎯 Aarav’s handwriting reader was tested on 20 new handwritten letters and got 17 right. What is its accuracy in percent?
36. 36.📦 Nisha collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.🎯 Aarav’s spam spotter is 80% accurate. If it is tested on 90 new messages, how many should it get right?
38. 38.❌ Nisha’s handwriting reader was tested on 27 new handwritten letters and got 25 right. How many did it get wrong?
39. 39.❌ Tara’s handwriting reader was tested on 44 new handwritten letters and got 42 right. How many did it get wrong?
40. 40.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?

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