Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 134 · 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.❌ Arjun’s bird-song app was tested on 49 new bird songs and got 41 right. How many did it get wrong?
2. 2.🎯 Diya’s leaf identifier was tested on 10 new leaf photos and got 6 right. What is its accuracy in percent?
3. 3.🎯 Saanvi’s leaf identifier was tested on 20 new leaf photos and got 10 right. What is its accuracy in percent?
4. 4.📦 Ishaan collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
5. 5.🎯 Tara’s bird-song app is 60% accurate. If it is tested on 60 new bird songs, how many should it get right?
6. 6.🎯 Arjun’s fruit sorter is 90% accurate. If it is tested on 100 new fruit photos, how many should it get right?
7. 7.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 14 right. How many percentage points more accurate is Model A?
8. 8.⚖️ 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?
9. 9.📋 Planning an AI project: which comes first — tag each photo by type or calculate percent right? (a) tag each photo by type (b) calculate percent right
10. 10.🎯 Meera’s fruit sorter was tested on 20 new fruit photos and got 12 right. What is its accuracy in percent?
11. 11.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to make it faster (d) to see if it learned
12. 12.🎯 Ananya’s leaf identifier is 80% accurate. If it is tested on 70 new leaf photos, how many should it get right?
13. 13.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) only a big robot (d) paper and examples
14. 14.📋 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
15. 15.❌ Nisha’s spam spotter was tested on 44 new messages and got 39 right. How many did it get wrong?
16. 16.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
17. 17.📦 Nisha collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
18. 18.📦 Vihaan collected 120 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Saanvi’s leaf identifier is 80% accurate. If it is tested on 10 new leaf photos, how many should it get right?
20. 20.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 18 right and Model B got 16 right. How many percentage points more accurate is Model A?
21. 21.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
22. 22.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) a louder speaker (d) more labelled examples
23. 23.📋 Planning an AI project: which comes first — collect fruit photos or work out the accuracy? (a) collect fruit photos (b) work out the accuracy
24. 24.📋 Planning an AI project: which comes first — split train and test or gather many examples? (a) split train and test (b) gather many examples
25. 25.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
26. 26.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 17 right and Model B got 13 right. How many percentage points more accurate is Model A?
27. 27.📋 Planning an AI project: which comes first — recheck every label or try unseen examples? (a) recheck every label (b) try unseen examples
28. 28.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?
29. 29.🎯 Diya’s spam spotter was tested on 25 new messages and got 17 right. What is its accuracy in percent?
30. 30.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
31. 31.📋 Planning an AI project: which comes first — collect fruit photos or improve data, retest? (a) collect fruit photos (b) improve data, retest
32. 32.📦 Arjun collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
33. 33.📋 Planning an AI project: which comes first — correct bad labels or train the model? (a) correct bad labels (b) train the model
34. 34.❌ Nisha’s recycling sorter was tested on 39 new waste photos and got 37 right. How many did it get wrong?
35. 35.📋 Planning an AI project: which comes first — label each example or improve data, retest? (a) label each example (b) improve data, retest
36. 36.📦 Meera collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
37. 37.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 12 right and Model B got 10 right. How many percentage points more accurate is Model A?
38. 38.📋 Planning an AI project: which comes first — gather many examples or label each example? (a) gather many examples (b) label each example
39. 39.🎯 Saanvi’s fruit sorter is 80% accurate. If it is tested on 80 new fruit photos, how many should it get right?
40. 40.📦 Ananya collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?

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