Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 833 · 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.🎯 Rohan’s handwriting reader is 70% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
2. 2.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
3. 3.🎯 Vihaan’s recycling sorter was tested on 20 new waste photos and got 11 right. What is its accuracy in percent?
4. 4.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
5. 5.🎯 Kabir’s recycling sorter was tested on 10 new waste photos and got 6 right. What is its accuracy in percent?
6. 6.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
7. 7.📋 Planning an AI project: which comes first — gather many examples or correct bad labels? (a) gather many examples (b) correct bad labels
8. 8.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a louder speaker (d) a new colour screen
9. 9.🎯 Aarav’s fruit sorter was tested on 25 new fruit photos and got 14 right. What is its accuracy in percent?
10. 10.📦 Ishaan collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
11. 11.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) nothing at all (d) only a big robot
12. 12.🎯 Vihaan’s bird-song app was tested on 20 new bird songs and got 11 right. What is its accuracy in percent?
13. 13.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
14. 14.🎯 Aarav’s recycling sorter is 70% accurate. If it is tested on 40 new waste photos, how many should it get right?
15. 15.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
16. 16.🎯 Rohan’s spam spotter was tested on 10 new messages and got 5 right. What is its accuracy in percent?
17. 17.📦 Nisha collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
18. 18.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
19. 19.🎯 Nisha’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
20. 20.❌ Meera’s handwriting reader was tested on 47 new handwritten letters and got 45 right. How many did it get wrong?
21. 21.🎯 Meera’s spam spotter is 90% accurate. If it is tested on 100 new messages, how many should it get right?
22. 22.❌ Meera’s leaf identifier was tested on 42 new leaf photos and got 40 right. How many did it get wrong?
23. 23.🎯 Kabir’s leaf identifier is 90% accurate. If it is tested on 70 new leaf photos, how many should it get right?
24. 24.🎯 Meera’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
25. 25.📋 Planning an AI project: which comes first — fix it and test again or let it learn patterns? (a) fix it and test again (b) let it learn patterns
26. 26.🎯 Tara’s spam spotter was tested on 20 new messages and got 14 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — calculate percent right or choose what to sort? (a) calculate percent right (b) choose what to sort
28. 28.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
29. 29.📦 Arjun collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
30. 30.🎯 Saanvi’s fruit sorter was tested on 20 new fruit photos and got 20 right. What is its accuracy in percent?
31. 31.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 47 right and Model B got 34 right. How many percentage points more accurate is Model A?
32. 32.📋 Planning an AI project: which comes first — try unseen examples or tag each photo by type? (a) try unseen examples (b) tag each photo by type
33. 33.🎯 Kabir’s bird-song app was tested on 50 new bird songs and got 38 right. What is its accuracy in percent?
34. 34.❌ Saanvi’s leaf identifier was tested on 29 new leaf photos and got 21 right. How many did it get wrong?
35. 35.🎯 Kabir’s handwriting reader was tested on 20 new handwritten letters and got 18 right. What is its accuracy in percent?
36. 36.❌ Aarav’s handwriting reader was tested on 26 new handwritten letters and got 21 right. How many did it get wrong?
37. 37.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
38. 38.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 19 right. How many percentage points more accurate is Model A?
39. 39.🎯 Vihaan’s leaf identifier was tested on 50 new leaf photos and got 32 right. What is its accuracy in percent?
40. 40.❌ Rohan’s spam spotter was tested on 33 new messages and got 31 right. How many did it get wrong?

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