Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 371 · 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.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to make it bigger (d) to save paper
2. 2.📦 Rohan collected 120 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
3. 3.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
4. 4.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 25 right and Model B got 20 right. How many percentage points more accurate is Model A?
5. 5.❌ Kabir’s handwriting reader was tested on 38 new handwritten letters and got 31 right. How many did it get wrong?
6. 6.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
7. 7.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
8. 8.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
9. 9.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
10. 10.🎯 Meera’s recycling sorter is 80% accurate. If it is tested on 10 new waste photos, how many should it get right?
11. 11.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) paper and examples (d) only a big robot
12. 12.❌ Tara’s bird-song app was tested on 40 new bird songs and got 34 right. How many did it get wrong?
13. 13.📦 Meera collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
14. 14.❌ Saanvi’s recycling sorter was tested on 36 new waste photos and got 34 right. How many did it get wrong?
15. 15.📦 Aarav collected 110 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
16. 16.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
17. 17.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
18. 18.🎯 Meera’s spam spotter was tested on 20 new messages and got 16 right. What is its accuracy in percent?
19. 19.🎯 Diya’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
20. 20.🎯 Ananya’s bird-song app was tested on 10 new bird songs and got 8 right. What is its accuracy in percent?
21. 21.🎯 Saanvi’s handwriting reader was tested on 10 new handwritten letters and got 7 right. What is its accuracy in percent?
22. 22.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?
23. 23.📦 Rohan collected 130 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
24. 24.❌ Kabir’s leaf identifier was tested on 18 new leaf photos and got 14 right. How many did it get wrong?
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.❌ Meera’s spam spotter was tested on 12 new messages and got 10 right. How many did it get wrong?
27. 27.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
28. 28.📋 Planning an AI project: which comes first — gather many examples or test on new photos? (a) gather many examples (b) test on new photos
29. 29.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
30. 30.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest
31. 31.📋 Planning an AI project: which comes first — collect fruit photos or work out the accuracy? (a) collect fruit photos (b) work out the accuracy
32. 32.📋 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
33. 33.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
34. 34.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 11 right and Model B got 10 right. How many percentage points more accurate is Model A?
35. 35.🎯 Kabir’s leaf identifier is 80% accurate. If it is tested on 30 new leaf photos, how many should it get right?
36. 36.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
37. 37.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 25 right and Model B got 17 right. How many percentage points more accurate is Model A?
38. 38.📋 Planning an AI project: which comes first — recheck every label or collect fruit photos? (a) recheck every label (b) collect fruit photos
39. 39.❌ Ishaan’s leaf identifier was tested on 39 new leaf photos and got 37 right. How many did it get wrong?
40. 40.🎯 Vihaan’s bird-song app is 90% accurate. If it is tested on 70 new bird songs, how many should it get right?

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