Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 514 · 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 — label each example or calculate percent right? (a) label each example (b) calculate percent right
2. 2.🎯 Saanvi’s fruit sorter was tested on 20 new fruit photos and got 13 right. What is its accuracy in percent?
3. 3.🎯 Diya’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
4. 4.❌ Ananya’s handwriting reader was tested on 46 new handwritten letters and got 39 right. How many did it get wrong?
5. 5.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
6. 6.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
7. 7.📋 Planning an AI project: which comes first — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
8. 8.📦 Saanvi collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
9. 9.❌ Vihaan’s bird-song app was tested on 49 new bird songs and got 45 right. How many did it get wrong?
10. 10.🎯 Saanvi’s fruit sorter is 80% accurate. If it is tested on 30 new fruit photos, how many should it get right?
11. 11.📋 Planning an AI project: which comes first — choose what to sort or correct bad labels? (a) choose what to sort (b) correct bad labels
12. 12.📋 Planning an AI project: which comes first — improve data, retest or pick a question to solve? (a) improve data, retest (b) pick a question to solve
13. 13.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
14. 14.🎯 Meera’s bird-song app was tested on 25 new bird songs and got 25 right. What is its accuracy in percent?
15. 15.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
16. 16.📦 Aarav collected 150 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
17. 17.📦 Meera collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
18. 18.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
19. 19.🧪 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
20. 20.🎯 Ishaan’s recycling sorter was tested on 50 new waste photos and got 39 right. What is its accuracy in percent?
21. 21.❌ Ananya’s handwriting reader was tested on 27 new handwritten letters and got 21 right. How many did it get wrong?
22. 22.📦 Aarav collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
23. 23.❌ Meera’s fruit sorter was tested on 33 new fruit photos and got 28 right. How many did it get wrong?
24. 24.🎯 Aarav’s recycling sorter was tested on 20 new waste photos and got 16 right. What is its accuracy in percent?
25. 25.📋 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
26. 26.🎯 Rohan’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — collect fruit photos or label each example? (a) collect fruit photos (b) label each example
28. 28.📋 Planning an AI project: which comes first — label each example or let it learn patterns? (a) label each example (b) let it learn patterns
29. 29.🎯 Ananya’s fruit sorter was tested on 25 new fruit photos and got 13 right. What is its accuracy in percent?
30. 30.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
31. 31.🎯 Meera’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — tag each photo by type or split train and test? (a) tag each photo by type (b) split train and test
33. 33.🎯 Ishaan’s handwriting reader was tested on 25 new handwritten letters and got 17 right. What is its accuracy in percent?
34. 34.🎯 Diya’s leaf identifier is 50% accurate. If it is tested on 80 new leaf photos, how many should it get right?
35. 35.❌ Saanvi’s recycling sorter was tested on 27 new waste photos and got 26 right. How many did it get wrong?
36. 36.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 36 right and Model B got 32 right. How many percentage points more accurate is Model A?
37. 37.🎯 Rohan’s bird-song app is 50% accurate. If it is tested on 50 new bird songs, how many should it get right?
38. 38.📋 Planning an AI project: which comes first — split train and test or calculate percent right? (a) split train and test (b) calculate percent right
39. 39.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
40. 40.🎯 Aarav’s spam spotter was tested on 10 new messages and got 7 right. What is its accuracy in percent?

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