Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 189 · 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 pick a question to solve? (a) set aside test photos (b) pick a question to solve
2. 2.📋 Planning an AI project: which comes first — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy
3. 3.🎯 Vihaan’s handwriting reader was tested on 10 new handwritten letters and got 5 right. What is its accuracy in percent?
4. 4.🎯 Meera’s leaf identifier was tested on 10 new leaf photos and got 5 right. What is its accuracy in percent?
5. 5.🎯 Kabir’s bird-song app is 80% accurate. If it is tested on 70 new bird songs, how many should it get right?
6. 6.❌ Ananya’s bird-song app was tested on 30 new bird songs and got 22 right. How many did it get wrong?
7. 7.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
8. 8.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
9. 9.📋 Planning an AI project: which comes first — correct bad labels or fix it and test again? (a) correct bad labels (b) fix it and test again
10. 10.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) paper and examples (d) a secret password
11. 11.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
12. 12.🎯 Tara’s leaf identifier is 50% accurate. If it is tested on 10 new leaf photos, how many should it get right?
13. 13.🎯 Vihaan’s leaf identifier is 60% accurate. If it is tested on 70 new leaf photos, how many should it get right?
14. 14.📋 Planning an AI project: which comes first — collect fruit photos or fix it and test again? (a) collect fruit photos (b) fix it and test again
15. 15.📋 Planning an AI project: which comes first — let it learn patterns or correct bad labels? (a) let it learn patterns (b) correct bad labels
16. 16.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
17. 17.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
18. 18.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest
19. 19.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
20. 20.❌ Aarav’s fruit sorter was tested on 35 new fruit photos and got 32 right. How many did it get wrong?
21. 21.❌ Diya’s bird-song app was tested on 27 new bird songs and got 19 right. How many did it get wrong?
22. 22.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
23. 23.📋 Planning an AI project: which comes first — test on new photos or split train and test? (a) test on new photos (b) split train and test
24. 24.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
25. 25.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
26. 26.📦 Arjun collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
27. 27.📦 Saanvi collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
28. 28.📦 Ishaan collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
29. 29.📦 Tara 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.📋 Planning an AI project: which comes first — calculate percent right or pick a question to solve? (a) calculate percent right (b) pick a question to solve
31. 31.❌ Diya’s fruit sorter was tested on 38 new fruit photos and got 37 right. How many did it get wrong?
32. 32.📋 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
33. 33.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
34. 34.📦 Kabir collected 130 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
35. 35.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 17 right and Model B got 15 right. How many percentage points more accurate is Model A?
36. 36.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
37. 37.🎯 Ishaan’s bird-song app is 80% accurate. If it is tested on 60 new bird songs, how many should it get right?
38. 38.📋 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
39. 39.🎯 Tara’s bird-song app was tested on 20 new bird songs and got 11 right. What is its accuracy in percent?
40. 40.🎯 Vihaan’s leaf identifier is 60% accurate. If it is tested on 50 new leaf photos, how many should it get right?

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