Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 741 · 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.🎯 Arjun’s fruit sorter is 80% accurate. If it is tested on 10 new fruit photos, how many should it get right?
2. 2.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
3. 3.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
4. 4.📦 Tara collected 120 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a louder speaker (d) a new colour screen
6. 6.🧪 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
7. 7.🎯 Ananya’s handwriting reader was tested on 25 new handwritten letters and got 19 right. What is its accuracy in percent?
8. 8.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
9. 9.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
10. 10.🎯 Kabir’s handwriting reader was tested on 25 new handwritten letters and got 14 right. What is its accuracy in percent?
11. 11.📦 Aarav collected 90 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
12. 12.📋 Planning an AI project: which comes first — fix it and test again or tag each photo by type? (a) fix it and test again (b) tag each photo by type
13. 13.🎯 Aarav’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
14. 14.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
15. 15.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
16. 16.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
17. 17.🎯 Arjun’s fruit sorter was tested on 50 new fruit photos and got 37 right. What is its accuracy in percent?
18. 18.❌ Rohan’s handwriting reader was tested on 48 new handwritten letters and got 45 right. How many did it get wrong?
19. 19.📋 Planning an AI project: which comes first — choose what to sort or test on new photos? (a) choose what to sort (b) test on new photos
20. 20.❌ Aarav’s spam spotter was tested on 39 new messages and got 38 right. How many did it get wrong?
21. 21.📋 Planning an AI project: which comes first — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
22. 22.📦 Nisha collected 150 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
23. 23.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
24. 24.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it bigger (d) to make it faster
25. 25.🎯 Kabir’s spam spotter is 80% accurate. If it is tested on 10 new messages, how many should it get right?
26. 26.📋 Planning an AI project: which comes first — collect fruit photos or calculate percent right? (a) collect fruit photos (b) calculate percent right
27. 27.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
28. 28.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
29. 29.🎯 Arjun’s spam spotter is 70% accurate. If it is tested on 50 new messages, how many should it get right?
30. 30.🎯 Nisha’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
31. 31.❌ Ananya’s leaf identifier was tested on 14 new leaf photos and got 10 right. How many did it get wrong?
32. 32.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
33. 33.📋 Planning an AI project: which comes first — collect fruit photos or work out the accuracy? (a) collect fruit photos (b) work out the accuracy
34. 34.🎯 Ananya’s handwriting reader is 70% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
35. 35.❌ Arjun’s leaf identifier was tested on 11 new leaf photos and got 10 right. How many did it get wrong?
36. 36.📋 Planning an AI project: which comes first — calculate percent right or gather many examples? (a) calculate percent right (b) gather many examples
37. 37.❌ Kabir’s fruit sorter was tested on 23 new fruit photos and got 15 right. How many did it get wrong?
38. 38.📦 Ishaan collected 110 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
39. 39.🎯 Arjun’s fruit sorter is 60% accurate. If it is tested on 40 new fruit photos, how many should it get right?
40. 40.🎯 Meera’s recycling sorter is 90% accurate. If it is tested on 10 new waste photos, how many should it get right?

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