Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 388 · 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 — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
2. 2.📋 Planning an AI project: which comes first — gather many examples or calculate percent right? (a) gather many examples (b) calculate percent right
3. 3.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
4. 4.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 17 right and Model B got 13 right. How many percentage points more accurate is Model A?
5. 5.📋 Planning an AI project: which comes first — choose what to sort or fix it and test again? (a) choose what to sort (b) fix it and test again
6. 6.📦 Meera collected 90 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
7. 7.🧪 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
8. 8.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 22 right and Model B got 21 right. How many percentage points more accurate is Model A?
9. 9.🎯 Kabir’s leaf identifier is 60% accurate. If it is tested on 50 new leaf photos, how many should it get right?
10. 10.🎯 Rohan’s spam spotter was tested on 25 new messages and got 24 right. What is its accuracy in percent?
11. 11.📦 Diya collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
12. 12.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
13. 13.📦 Kabir collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
14. 14.🎯 Aarav’s spam spotter is 50% accurate. If it is tested on 60 new messages, how many should it get right?
15. 15.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
16. 16.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) only a big robot (d) a secret password
17. 17.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct ÷ total × 100 (d) correct + total
18. 18.📦 Tara collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
19. 19.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
20. 20.📦 Rohan collected 200 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
21. 21.🎯 Kabir’s bird-song app was tested on 50 new bird songs and got 26 right. What is its accuracy in percent?
22. 22.❌ Ananya’s fruit sorter was tested on 26 new fruit photos and got 20 right. How many did it get wrong?
23. 23.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
24. 24.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
25. 25.❌ Saanvi’s spam spotter was tested on 45 new messages and got 39 right. How many did it get wrong?
26. 26.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 48 right and Model B got 46 right. How many percentage points more accurate is Model A?
27. 27.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
28. 28.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to make it bigger (d) to save paper
29. 29.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
30. 30.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
31. 31.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 21 right and Model B got 13 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 38 right and Model B got 31 right. How many percentage points more accurate is Model A?
33. 33.📋 Planning an AI project: which comes first — gather many examples or split train and test? (a) gather many examples (b) split train and test
34. 34.📋 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
35. 35.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
36. 36.🎯 Tara’s bird-song app is 60% accurate. If it is tested on 60 new bird songs, how many should it get right?
37. 37.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
38. 38.🎯 Aarav’s leaf identifier is 80% accurate. If it is tested on 30 new leaf photos, how many should it get right?
39. 39.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 34 right and Model B got 30 right. How many percentage points more accurate is Model A?
40. 40.🎯 Rohan’s leaf identifier is 90% accurate. If it is tested on 40 new leaf photos, how many should it get right?

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