Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 593 · 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.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) nothing at all (d) a secret password
2. 2.📋 Planning an AI project: which comes first — collect fruit photos or calculate percent right? (a) collect fruit photos (b) calculate percent right
3. 3.🎯 Kabir’s leaf identifier is 80% accurate. If it is tested on 20 new leaf photos, how many should it get right?
4. 4.❌ Vihaan’s handwriting reader was tested on 19 new handwritten letters and got 12 right. How many did it get wrong?
5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) a louder speaker (d) fewer examples
6. 6.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 19 right and Model B got 10 right. How many percentage points more accurate is Model A?
7. 7.📦 Tara collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
8. 8.📋 Planning an AI project: which comes first — tag each photo by type or pick a question to solve? (a) tag each photo by type (b) pick a question to solve
9. 9.📋 Planning an AI project: which comes first — tag each photo by type or collect fruit photos? (a) tag each photo by type (b) collect fruit photos
10. 10.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
11. 11.🎯 Saanvi’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
12. 12.❌ Aarav’s fruit sorter was tested on 40 new fruit photos and got 34 right. How many did it get wrong?
13. 13.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
14. 14.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) correct + total (d) total × 2
15. 15.🎯 Rohan’s leaf identifier was tested on 20 new leaf photos and got 15 right. What is its accuracy in percent?
16. 16.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 45 right and Model B got 42 right. How many percentage points more accurate is Model A?
17. 17.❌ Vihaan’s spam spotter was tested on 40 new messages and got 39 right. How many did it get wrong?
18. 18.🎯 Kabir’s spam spotter is 50% accurate. If it is tested on 60 new messages, how many should it get right?
19. 19.📦 Ananya collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
20. 20.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
21. 21.📋 Planning an AI project: which comes first — label each example or improve data, retest? (a) label each example (b) improve data, retest
22. 22.🎯 Ishaan’s spam spotter is 50% accurate. If it is tested on 90 new messages, how many should it get right?
23. 23.❌ Rohan’s bird-song app was tested on 36 new bird songs and got 35 right. How many did it get wrong?
24. 24.📦 Aarav collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
25. 25.📋 Planning an AI project: which comes first — split train and test or gather many examples? (a) split train and test (b) gather many examples
26. 26.🎯 Meera’s bird-song app is 80% accurate. If it is tested on 80 new bird songs, how many should it get right?
27. 27.🎯 Vihaan’s bird-song app was tested on 20 new bird songs and got 18 right. What is its accuracy in percent?
28. 28.🎯 Meera’s handwriting reader is 70% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
29. 29.📋 Planning an AI project: which comes first — label each example or fix it and test again? (a) label each example (b) fix it and test again
30. 30.📋 Planning an AI project: which comes first — test on new photos or pick a question to solve? (a) test on new photos (b) pick a question to solve
31. 31.📋 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
32. 32.🎯 Rohan’s bird-song app is 90% accurate. If it is tested on 90 new bird songs, how many should it get right?
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.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to save paper (d) to make it bigger
35. 35.❌ Diya’s spam spotter was tested on 17 new messages and got 10 right. How many did it get wrong?
36. 36.📋 Planning an AI project: which comes first — tag each photo by type or fix it and test again? (a) tag each photo by type (b) fix it and test again
37. 37.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
38. 38.❌ Rohan’s handwriting reader was tested on 28 new handwritten letters and got 19 right. How many did it get wrong?
39. 39.📦 Diya collected 110 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
40. 40.❌ Aarav’s recycling sorter was tested on 32 new waste photos and got 23 right. How many did it get wrong?

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