Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 442 · 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.❌ Saanvi’s spam spotter was tested on 35 new messages and got 27 right. How many did it get wrong?
2. 2.🎯 Nisha’s handwriting reader is 50% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
3. 3.❌ Saanvi’s handwriting reader was tested on 45 new handwritten letters and got 40 right. How many did it get wrong?
4. 4.📋 Planning an AI project: which comes first — collect fruit photos or choose what to sort? (a) collect fruit photos (b) choose what to sort
5. 5.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
6. 6.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
7. 7.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
8. 8.📋 Planning an AI project: which comes first — gather many examples or split train and test? (a) gather many examples (b) split train and test
9. 9.🎯 Arjun’s recycling sorter was tested on 25 new waste photos and got 13 right. What is its accuracy in percent?
10. 10.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
11. 11.🎯 Meera’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
12. 12.🎯 Kabir’s bird-song app is 80% accurate. If it is tested on 70 new bird songs, how many should it get right?
13. 13.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
14. 14.❌ Diya’s leaf identifier was tested on 42 new leaf photos and got 39 right. How many did it get wrong?
15. 15.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
16. 16.❌ Rohan’s bird-song app was tested on 47 new bird songs and got 45 right. How many did it get wrong?
17. 17.❌ Aarav’s recycling sorter was tested on 20 new waste photos and got 17 right. How many did it get wrong?
18. 18.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
19. 19.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 45 right and Model B got 26 right. How many percentage points more accurate is Model A?
20. 20.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
21. 21.📋 Planning an AI project: which comes first — choose what to sort or recheck every label? (a) choose what to sort (b) recheck every label
22. 22.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 23 right and Model B got 21 right. How many percentage points more accurate is Model A?
23. 23.📦 Saanvi collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
24. 24.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
25. 25.📦 Arjun collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
26. 26.❌ Tara’s handwriting reader was tested on 36 new handwritten letters and got 31 right. How many did it get wrong?
27. 27.❌ Tara’s recycling sorter was tested on 50 new waste photos and got 45 right. How many did it get wrong?
28. 28.❌ Tara’s bird-song app was tested on 21 new bird songs and got 16 right. How many did it get wrong?
29. 29.📋 Planning an AI project: which comes first — improve data, retest or choose what to sort? (a) improve data, retest (b) choose what to sort
30. 30.🎯 Kabir’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
31. 31.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
32. 32.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve
33. 33.🎯 Ishaan’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
34. 34.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
35. 35.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
36. 36.📦 Saanvi collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
37. 37.❌ Aarav’s recycling sorter was tested on 45 new waste photos and got 36 right. How many did it get wrong?
38. 38.📦 Aarav collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
39. 39.❌ Kabir’s handwriting reader was tested on 29 new handwritten letters and got 23 right. How many did it get wrong?
40. 40.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 21 right and Model B got 17 right. How many percentage points more accurate is Model A?

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