Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 957 · 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.❌ Ananya’s leaf identifier was tested on 13 new leaf photos and got 11 right. How many did it get wrong?
2. 2.🎯 Kabir’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
3. 3.📋 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
4. 4.📦 Vihaan collected 140 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
5. 5.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
6. 6.🎯 Rohan’s handwriting reader was tested on 10 new handwritten letters and got 5 right. What is its accuracy in percent?
7. 7.🎯 Ishaan’s handwriting reader was tested on 10 new handwritten letters and got 7 right. What is its accuracy in percent?
8. 8.📦 Ishaan collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
9. 9.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total − correct (d) total × 2
10. 10.❌ Ishaan’s leaf identifier was tested on 14 new leaf photos and got 12 right. How many did it get wrong?
11. 11.📋 Planning an AI project: which comes first — choose what to sort or split train and test? (a) choose what to sort (b) split train and test
12. 12.❌ Tara’s fruit sorter was tested on 35 new fruit photos and got 31 right. How many did it get wrong?
13. 13.🎯 Ishaan’s fruit sorter is 90% accurate. If it is tested on 60 new fruit photos, how many should it get right?
14. 14.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to save paper (d) to make it faster
15. 15.❌ Kabir’s leaf identifier was tested on 45 new leaf photos and got 43 right. How many did it get wrong?
16. 16.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 12 right and Model B got 10 right. How many percentage points more accurate is Model A?
17. 17.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
18. 18.🎯 Ishaan’s recycling sorter is 50% accurate. If it is tested on 80 new waste photos, how many should it get right?
19. 19.🎯 Tara’s recycling sorter was tested on 50 new waste photos and got 48 right. What is its accuracy in percent?
20. 20.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 46 right and Model B got 42 right. How many percentage points more accurate is Model A?
21. 21.📋 Planning an AI project: which comes first — collect fruit photos or tag each photo by type? (a) collect fruit photos (b) tag each photo by type
22. 22.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
23. 23.🎯 Ananya’s recycling sorter is 80% accurate. If it is tested on 80 new waste photos, how many should it get right?
24. 24.📦 Kabir collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
25. 25.📦 Ishaan collected 90 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
26. 26.🎯 Diya’s bird-song app is 70% accurate. If it is tested on 60 new bird songs, how many should it get right?
27. 27.🎯 Rohan’s fruit sorter was tested on 50 new fruit photos and got 29 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
29. 29.📦 Vihaan collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
30. 30.📦 Aarav collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
31. 31.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 24 right and Model B got 18 right. How many percentage points more accurate is Model A?
32. 32.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 32 right and Model B got 27 right. How many percentage points more accurate is Model A?
33. 33.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a new colour screen (d) a louder speaker
34. 34.📦 Aarav collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
35. 35.❌ Ananya’s leaf identifier was tested on 29 new leaf photos and got 23 right. How many did it get wrong?
36. 36.❌ Kabir’s bird-song app was tested on 20 new bird songs and got 13 right. How many did it get wrong?
37. 37.🎯 Arjun’s leaf identifier was tested on 25 new leaf photos and got 15 right. What is its accuracy in percent?
38. 38.🎯 Nisha’s handwriting reader was tested on 25 new handwritten letters and got 13 right. What is its accuracy in percent?
39. 39.🎯 Ananya’s fruit sorter is 80% accurate. If it is tested on 20 new fruit photos, how many should it get right?
40. 40.🎯 Ananya’s handwriting reader is 70% accurate. If it is tested on 30 new handwritten letters, how many should it get right?

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