Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 611 · 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.🎯 Kabir’s fruit sorter was tested on 25 new fruit photos and got 19 right. What is its accuracy in percent?
2. 2.❌ Arjun’s fruit sorter was tested on 47 new fruit photos and got 41 right. How many did it get wrong?
3. 3.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total − correct (d) total × 2
4. 4.🎯 Aarav’s fruit sorter is 60% accurate. If it is tested on 80 new fruit photos, how many should it get right?
5. 5.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
6. 6.🎯 Vihaan’s fruit sorter is 80% accurate. If it is tested on 30 new fruit photos, how many should it get right?
7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to save paper (d) to see if it learned
8. 8.❌ Diya’s bird-song app was tested on 28 new bird songs and got 19 right. How many did it get wrong?
9. 9.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
10. 10.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) fewer examples (d) a new colour screen
11. 11.❌ Ananya’s recycling sorter was tested on 28 new waste photos and got 23 right. How many did it get wrong?
12. 12.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) paper and examples (d) a secret password
13. 13.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
14. 14.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
15. 15.📋 Planning an AI project: which comes first — collect fruit photos or choose what to sort? (a) collect fruit photos (b) choose what to sort
16. 16.📋 Planning an AI project: which comes first — gather many examples or set aside test photos? (a) gather many examples (b) set aside test photos
17. 17.📦 Aarav collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
18. 18.📦 Diya collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
19. 19.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
20. 20.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
21. 21.🎯 Diya’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
22. 22.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
23. 23.📋 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
24. 24.🎯 Meera’s recycling sorter was tested on 10 new waste photos and got 8 right. What is its accuracy in percent?
25. 25.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
26. 26.🎯 Rohan’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — pick a question to solve or tag each photo by type? (a) pick a question to solve (b) tag each photo by type
28. 28.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
29. 29.🎯 Tara’s leaf identifier was tested on 20 new leaf photos and got 10 right. What is its accuracy in percent?
30. 30.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
31. 31.📦 Arjun collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
32. 32.📋 Planning an AI project: which comes first — split train and test or gather many examples? (a) split train and test (b) gather many examples
33. 33.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
34. 34.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
35. 35.📋 Planning an AI project: which comes first — fix it and test again or correct bad labels? (a) fix it and test again (b) correct bad labels
36. 36.❌ Tara’s spam spotter was tested on 45 new messages and got 39 right. How many did it get wrong?
37. 37.📋 Planning an AI project: which comes first — choose what to sort or try unseen examples? (a) choose what to sort (b) try unseen examples
38. 38.🎯 Vihaan’s bird-song app is 90% accurate. If it is tested on 40 new bird songs, how many should it get right?
39. 39.🎯 Saanvi’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
40. 40.📦 Nisha collected 170 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?

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