Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 591 · 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.❌ Nisha’s bird-song app was tested on 33 new bird songs and got 24 right. How many did it get wrong?
2. 2.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
3. 3.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
4. 4.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) a louder speaker (d) more labelled examples
5. 5.📦 Arjun collected 170 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
6. 6.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
7. 7.🎯 Arjun’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
8. 8.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) total − correct (d) correct + total
9. 9.📦 Meera collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
10. 10.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 37 right and Model B got 29 right. How many percentage points more accurate is Model A?
11. 11.❌ Kabir’s bird-song app was tested on 43 new bird songs and got 38 right. How many did it get wrong?
12. 12.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 24 right and Model B got 17 right. How many percentage points more accurate is Model A?
13. 13.📋 Planning an AI project: which comes first — label each example or try unseen examples? (a) label each example (b) try unseen examples
14. 14.🎯 Aarav’s recycling sorter is 80% accurate. If it is tested on 100 new waste photos, how many should it get right?
15. 15.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
16. 16.🎯 Diya’s leaf identifier is 60% accurate. If it is tested on 10 new leaf photos, how many should it get right?
17. 17.📋 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
18. 18.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 18 right and Model B got 17 right. How many percentage points more accurate is Model A?
19. 19.🎯 Ananya’s leaf identifier was tested on 25 new leaf photos and got 15 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
21. 21.📋 Planning an AI project: which comes first — test on new photos or gather many examples? (a) test on new photos (b) gather many examples
22. 22.🎯 Aarav’s spam spotter was tested on 20 new messages and got 20 right. What is its accuracy in percent?
23. 23.❌ Saanvi’s bird-song app was tested on 28 new bird songs and got 26 right. How many did it get wrong?
24. 24.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
25. 25.📋 Planning an AI project: which comes first — collect fruit photos or recheck every label? (a) collect fruit photos (b) recheck every label
26. 26.📦 Nisha collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
27. 27.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) nothing at all (d) only a big robot
28. 28.🎯 Ishaan’s leaf identifier is 50% accurate. If it is tested on 60 new leaf photos, how many should it get right?
29. 29.📦 Kabir collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
30. 30.📦 Kabir collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
31. 31.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
32. 32.🎯 Aarav’s spam spotter is 90% accurate. If it is tested on 50 new messages, how many should it get right?
33. 33.🎯 Ananya’s leaf identifier is 70% accurate. If it is tested on 90 new leaf photos, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — set aside test photos or improve data, retest? (a) set aside test photos (b) improve data, retest
35. 35.❌ Tara’s spam spotter was tested on 43 new messages and got 36 right. How many did it get wrong?
36. 36.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 21 right and Model B got 15 right. How many percentage points more accurate is Model A?
37. 37.❌ Meera’s leaf identifier was tested on 37 new leaf photos and got 32 right. How many did it get wrong?
38. 38.❌ Meera’s recycling sorter was tested on 48 new waste photos and got 44 right. How many did it get wrong?
39. 39.❌ Ananya’s recycling sorter was tested on 48 new waste photos and got 46 right. How many did it get wrong?
40. 40.❌ Saanvi’s fruit sorter was tested on 21 new fruit photos and got 20 right. How many did it get wrong?

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