Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 247 · 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.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) correct + total (d) total × 2
2. 2.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to save paper (d) to make it faster
4. 4.🎯 Diya’s handwriting reader is 50% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
5. 5.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
6. 6.🎯 Meera’s recycling sorter is 60% accurate. If it is tested on 100 new waste photos, how many should it get right?
7. 7.📋 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
8. 8.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) a secret password (d) nothing at all
9. 9.📋 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
10. 10.🎯 Aarav’s spam spotter is 50% accurate. If it is tested on 30 new messages, how many should it get right?
11. 11.🎯 Kabir’s spam spotter was tested on 25 new messages and got 18 right. What is its accuracy in percent?
12. 12.🎯 Aarav’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
13. 13.📋 Planning an AI project: which comes first — collect fruit photos or try unseen examples? (a) collect fruit photos (b) try unseen examples
14. 14.📦 Nisha collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
15. 15.❌ Vihaan’s fruit sorter was tested on 18 new fruit photos and got 15 right. How many did it get wrong?
16. 16.📦 Aarav collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
17. 17.🎯 Aarav’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
18. 18.🎯 Ishaan’s fruit sorter is 60% accurate. If it is tested on 70 new fruit photos, how many should it get right?
19. 19.🎯 Diya’s recycling sorter is 50% accurate. If it is tested on 80 new waste photos, how many should it get right?
20. 20.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 16 right and Model B got 10 right. How many percentage points more accurate is Model A?
21. 21.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
22. 22.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 22 right and Model B got 19 right. How many percentage points more accurate is Model A?
23. 23.🎯 Tara’s spam spotter is 90% accurate. If it is tested on 10 new messages, how many should it get right?
24. 24.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
25. 25.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
26. 26.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) more labelled examples (d) a louder speaker
27. 27.📋 Planning an AI project: which comes first — tag each photo by type or let it learn patterns? (a) tag each photo by type (b) let it learn patterns
28. 28.📋 Planning an AI project: which comes first — work out the accuracy or split train and test? (a) work out the accuracy (b) split train and test
29. 29.🎯 Ananya’s leaf identifier is 70% accurate. If it is tested on 60 new leaf photos, how many should it get right?
30. 30.❌ Ishaan’s bird-song app was tested on 33 new bird songs and got 31 right. How many did it get wrong?
31. 31.🎯 Ishaan’s handwriting reader was tested on 10 new handwritten letters and got 6 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
33. 33.📦 Kabir collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
34. 34.❌ Nisha’s bird-song app was tested on 14 new bird songs and got 13 right. How many did it get wrong?
35. 35.📦 Arjun collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
36. 36.🎯 Kabir’s spam spotter was tested on 10 new messages and got 5 right. What is its accuracy in percent?
37. 37.❌ Vihaan’s recycling sorter was tested on 31 new waste photos and got 24 right. How many did it get wrong?
38. 38.📦 Diya collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
39. 39.🎯 Vihaan’s spam spotter is 60% accurate. If it is tested on 60 new messages, how many should it get right?
40. 40.📦 Kabir collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?

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