Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 908 · 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.🧪 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
2. 2.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again
3. 3.📦 Ishaan collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
4. 4.❌ Aarav’s recycling sorter was tested on 45 new waste photos and got 38 right. How many did it get wrong?
5. 5.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) only a big robot (d) nothing at all
6. 6.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest
7. 7.🎯 Meera’s handwriting reader is 80% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
8. 8.🎯 Aarav’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
9. 9.📋 Planning an AI project: which comes first — choose what to sort or fix it and test again? (a) choose what to sort (b) fix it and test again
10. 10.📦 Aarav collected 180 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
11. 11.📦 Ananya collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
12. 12.📦 Meera collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
13. 13.🎯 Meera’s fruit sorter was tested on 25 new fruit photos and got 15 right. What is its accuracy in percent?
14. 14.🎯 Nisha’s spam spotter is 50% accurate. If it is tested on 80 new messages, how many should it get right?
15. 15.🎯 Ananya’s spam spotter was tested on 50 new messages and got 49 right. What is its accuracy in percent?
16. 16.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
17. 17.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) correct + total (d) total × 2
18. 18.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
19. 19.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
20. 20.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 43 right and Model B got 40 right. How many percentage points more accurate is Model A?
21. 21.🎯 Ishaan’s bird-song app is 60% accurate. If it is tested on 30 new bird songs, how many should it get right?
22. 22.🎯 Rohan’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — tag each photo by type or collect fruit photos? (a) tag each photo by type (b) collect fruit photos
24. 24.📦 Diya collected 90 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
25. 25.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
26. 26.🎯 Ishaan’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
27. 27.🎯 Diya’s recycling sorter was tested on 20 new waste photos and got 12 right. What is its accuracy in percent?
28. 28.❌ Aarav’s recycling sorter was tested on 48 new waste photos and got 41 right. How many did it get wrong?
29. 29.📋 Planning an AI project: which comes first — choose what to sort or try unseen examples? (a) choose what to sort (b) try unseen examples
30. 30.📋 Planning an AI project: which comes first — recheck every label or calculate percent right? (a) recheck every label (b) calculate percent right
31. 31.❌ Kabir’s handwriting reader was tested on 24 new handwritten letters and got 19 right. How many did it get wrong?
32. 32.📦 Kabir collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
33. 33.📦 Diya collected 190 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 recycling sorter is 80% accurate. If it is tested on 70 new waste photos, how many should it get right?
35. 35.📦 Ananya collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
36. 36.🎯 Vihaan’s leaf identifier is 90% accurate. If it is tested on 40 new leaf photos, how many should it get right?
37. 37.❌ Aarav’s fruit sorter was tested on 24 new fruit photos and got 16 right. How many did it get wrong?
38. 38.🎯 Aarav’s fruit sorter is 70% accurate. If it is tested on 70 new fruit photos, how many should it get right?
39. 39.🎯 Vihaan’s fruit sorter is 60% accurate. If it is tested on 90 new fruit photos, how many should it get right?
40. 40.🎯 Tara’s fruit sorter is 70% accurate. If it is tested on 40 new fruit photos, how many should it get right?

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