Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 131 · 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.❌ Aarav’s spam spotter was tested on 49 new messages and got 44 right. How many did it get wrong?
2. 2.🎯 Rohan’s leaf identifier was tested on 50 new leaf photos and got 33 right. What is its accuracy in percent?
3. 3.❌ Arjun’s handwriting reader was tested on 19 new handwritten letters and got 15 right. How many did it get wrong?
4. 4.🎯 Saanvi’s recycling sorter is 50% accurate. If it is tested on 80 new waste photos, how many should it get right?
5. 5.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) fewer examples (d) a louder speaker
7. 7.🎯 Diya’s fruit sorter is 90% accurate. If it is tested on 70 new fruit photos, how many should it get right?
8. 8.📋 Planning an AI project: which comes first — collect fruit photos or try unseen examples? (a) collect fruit photos (b) try unseen examples
9. 9.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
10. 10.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
11. 11.❌ Kabir’s recycling sorter was tested on 16 new waste photos and got 15 right. How many did it get wrong?
12. 12.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to save paper (d) to make it faster
13. 13.❌ Ananya’s bird-song app was tested on 31 new bird songs and got 22 right. How many did it get wrong?
14. 14.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
15. 15.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
16. 16.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
17. 17.🎯 Kabir’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
18. 18.📋 Planning an AI project: which comes first — work out the accuracy or split train and test? (a) work out the accuracy (b) split train and test
19. 19.🎯 Aarav’s fruit sorter was tested on 50 new fruit photos and got 37 right. What is its accuracy in percent?
20. 20.📋 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
21. 21.📦 Vihaan collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
22. 22.📋 Planning an AI project: which comes first — train the model or choose what to sort? (a) train the model (b) choose what to sort
23. 23.📋 Planning an AI project: which comes first — try unseen examples or label each example? (a) try unseen examples (b) label each example
24. 24.🎯 Rohan’s handwriting reader is 90% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
25. 25.📋 Planning an AI project: which comes first — work out the accuracy or set aside test photos? (a) work out the accuracy (b) set aside test photos
26. 26.📋 Planning an AI project: which comes first — tag each photo by type or test on new photos? (a) tag each photo by type (b) test on new photos
27. 27.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
28. 28.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
29. 29.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
30. 30.🎯 Ananya’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
31. 31.🎯 Saanvi’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
33. 33.📋 Planning an AI project: which comes first — correct bad labels or choose what to sort? (a) correct bad labels (b) choose what to sort
34. 34.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
35. 35.📦 Saanvi collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
36. 36.📦 Meera collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.❌ Diya’s handwriting reader was tested on 19 new handwritten letters and got 12 right. How many did it get wrong?
38. 38.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns
39. 39.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
40. 40.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 18 right and Model B got 17 right. How many percentage points more accurate is Model A?

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