Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 169 · 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.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
2. 2.🧪 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
3. 3.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
4. 4.🎯 Diya’s bird-song app is 90% accurate. If it is tested on 20 new bird songs, how many should it get right?
5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
6. 6.🎯 Ishaan’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
7. 7.❌ Saanvi’s handwriting reader was tested on 25 new handwritten letters and got 24 right. How many did it get wrong?
8. 8.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 15 right and Model B got 14 right. How many percentage points more accurate is Model A?
9. 9.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
10. 10.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
11. 11.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) a secret password (d) nothing at all
12. 12.📋 Planning an AI project: which comes first — let it learn patterns or label each example? (a) let it learn patterns (b) label each example
13. 13.🎯 Arjun’s fruit sorter is 70% accurate. If it is tested on 30 new fruit photos, how many should it get right?
14. 14.📋 Planning an AI project: which comes first — try unseen examples or label each example? (a) try unseen examples (b) label each example
15. 15.🎯 Kabir’s leaf identifier is 70% accurate. If it is tested on 30 new leaf photos, how many should it get right?
16. 16.❌ Nisha’s fruit sorter was tested on 41 new fruit photos and got 33 right. How many did it get wrong?
17. 17.📦 Ananya collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
18. 18.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
19. 19.🎯 Rohan’s recycling sorter was tested on 10 new waste photos and got 9 right. What is its accuracy in percent?
20. 20.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
21. 21.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
22. 22.❌ Rohan’s spam spotter was tested on 22 new messages and got 14 right. How many did it get wrong?
23. 23.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
24. 24.📦 Kabir collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
25. 25.📋 Planning an AI project: which comes first — test on new photos or choose what to sort? (a) test on new photos (b) choose what to sort
26. 26.❌ Meera’s bird-song app was tested on 21 new bird songs and got 13 right. How many did it get wrong?
27. 27.📋 Planning an AI project: which comes first — work out the accuracy or gather many examples? (a) work out the accuracy (b) gather many examples
28. 28.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
29. 29.🎯 Meera’s spam spotter was tested on 20 new messages and got 17 right. What is its accuracy in percent?
30. 30.❌ Ananya’s spam spotter was tested on 40 new messages and got 33 right. How many did it get wrong?
31. 31.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
32. 32.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 49 right and Model B got 46 right. How many percentage points more accurate is Model A?
33. 33.🎯 Nisha’s fruit sorter is 90% accurate. If it is tested on 100 new fruit photos, how many should it get right?
34. 34.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
35. 35.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
36. 36.🎯 Ishaan’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
37. 37.🎯 Tara’s leaf identifier is 80% accurate. If it is tested on 30 new leaf photos, how many should it get right?
38. 38.🎯 Aarav’s leaf identifier was tested on 20 new leaf photos and got 11 right. What is its accuracy in percent?
39. 39.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
40. 40.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again

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