Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 881 · 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 — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
2. 2.🧪 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
3. 3.⚖️ 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?
4. 4.📋 Planning an AI project: which comes first — tag each photo by type or train the model? (a) tag each photo by type (b) train the model
5. 5.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
6. 6.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
7. 7.🧪 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
8. 8.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
9. 9.🎯 Tara’s handwriting reader is 70% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
10. 10.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total − correct (d) total × 2
11. 11.📋 Planning an AI project: which comes first — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy
12. 12.🎯 Meera’s spam spotter is 90% accurate. If it is tested on 70 new messages, how many should it get right?
13. 13.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
14. 14.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
15. 15.🎯 Tara’s recycling sorter is 70% accurate. If it is tested on 50 new waste photos, how many should it get right?
16. 16.🎯 Meera’s leaf identifier was tested on 10 new leaf photos and got 7 right. What is its accuracy in percent?
17. 17.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
18. 18.❌ Ananya’s leaf identifier was tested on 45 new leaf photos and got 44 right. How many did it get wrong?
19. 19.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
20. 20.🎯 Arjun’s bird-song app is 70% accurate. If it is tested on 70 new bird songs, how many should it get right?
21. 21.🎯 Ananya’s fruit sorter is 50% accurate. If it is tested on 100 new fruit photos, how many should it get right?
22. 22.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
23. 23.📋 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
24. 24.❌ Saanvi’s fruit sorter was tested on 21 new fruit photos and got 14 right. How many did it get wrong?
25. 25.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
26. 26.🎯 Meera’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
27. 27.🎯 Vihaan’s leaf identifier was tested on 20 new leaf photos and got 11 right. What is its accuracy in percent?
28. 28.📦 Kabir collected 50 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
29. 29.📦 Diya collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
30. 30.❌ Aarav’s recycling sorter was tested on 18 new waste photos and got 10 right. How many did it get wrong?
31. 31.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to save paper (d) to make it faster
32. 32.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
33. 33.📋 Planning an AI project: which comes first — calculate percent right or collect fruit photos? (a) calculate percent right (b) collect fruit photos
34. 34.🎯 Vihaan’s spam spotter is 80% accurate. If it is tested on 70 new messages, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
36. 36.❌ Diya’s spam spotter was tested on 33 new messages and got 26 right. How many did it get wrong?
37. 37.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 12 right and Model B got 11 right. How many percentage points more accurate is Model A?
38. 38.🎯 Saanvi’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
39. 39.📋 Planning an AI project: which comes first — gather many examples or let it learn patterns? (a) gather many examples (b) let it learn patterns
40. 40.❌ Kabir’s fruit sorter was tested on 24 new fruit photos and got 20 right. How many did it get wrong?

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