Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 68 · 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 — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
2. 2.📋 Planning an AI project: which comes first — let it learn patterns or correct bad labels? (a) let it learn patterns (b) correct bad labels
3. 3.🎯 Meera’s spam spotter is 70% accurate. If it is tested on 80 new messages, how many should it get right?
4. 4.❌ Ishaan’s recycling sorter was tested on 35 new waste photos and got 31 right. How many did it get wrong?
5. 5.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to see if it learned (d) to save paper
6. 6.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
7. 7.🎯 Meera’s leaf identifier is 80% accurate. If it is tested on 40 new leaf photos, how many should it get right?
8. 8.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
9. 9.🎯 Aarav’s leaf identifier is 50% accurate. If it is tested on 60 new leaf photos, how many should it get right?
10. 10.📦 Diya collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
11. 11.❌ Tara’s recycling sorter was tested on 42 new waste photos and got 38 right. How many did it get wrong?
12. 12.🎯 Aarav’s bird-song app is 90% accurate. If it is tested on 70 new bird songs, how many should it get right?
13. 13.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
14. 14.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 23 right. How many percentage points more accurate is Model A?
15. 15.❌ Kabir’s fruit sorter was tested on 20 new fruit photos and got 18 right. How many did it get wrong?
16. 16.📦 Tara collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
17. 17.🎯 Ananya’s spam spotter was tested on 20 new messages and got 19 right. What is its accuracy in percent?
18. 18.🎯 Meera’s bird-song app is 50% accurate. If it is tested on 70 new bird songs, how many should it get right?
19. 19.📦 Vihaan collected 180 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
20. 20.🎯 Meera’s spam spotter was tested on 50 new messages and got 25 right. What is its accuracy in percent?
21. 21.❌ Kabir’s fruit sorter was tested on 47 new fruit photos and got 41 right. How many did it get wrong?
22. 22.🎯 Kabir’s leaf identifier was tested on 50 new leaf photos and got 27 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — collect fruit photos or tag each photo by type? (a) collect fruit photos (b) tag each photo by type
24. 24.❌ Diya’s bird-song app was tested on 37 new bird songs and got 28 right. How many did it get wrong?
25. 25.❌ Saanvi’s fruit sorter was tested on 35 new fruit photos and got 27 right. How many did it get wrong?
26. 26.📦 Ananya collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
27. 27.📦 Vihaan collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
28. 28.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) a secret password (d) nothing at all
29. 29.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
30. 30.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
31. 31.🎯 Aarav’s leaf identifier was tested on 10 new leaf photos and got 5 right. What is its accuracy in percent?
32. 32.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 19 right and Model B got 13 right. How many percentage points more accurate is Model A?
33. 33.🎯 Aarav’s spam spotter is 90% accurate. If it is tested on 10 new messages, how many should it get right?
34. 34.📋 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
35. 35.❌ Saanvi’s fruit sorter was tested on 13 new fruit photos and got 11 right. How many did it get wrong?
36. 36.📋 Planning an AI project: which comes first — fix it and test again or label each example? (a) fix it and test again (b) label each example
37. 37.📋 Planning an AI project: which comes first — let it learn patterns or choose what to sort? (a) let it learn patterns (b) choose what to sort
38. 38.🎯 Kabir’s leaf identifier is 50% accurate. If it is tested on 90 new leaf photos, how many should it get right?
39. 39.📦 Ishaan collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
40. 40.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 50 right and Model B got 30 right. How many percentage points more accurate is Model A?

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