Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 475 · 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.🎯 Diya’s recycling sorter is 70% accurate. If it is tested on 30 new waste photos, how many should it get right?
2. 2.🧪 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
3. 3.🎯 Tara’s recycling sorter is 50% accurate. If it is tested on 50 new waste photos, how many should it get right?
4. 4.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) a secret password (d) nothing at all
5. 5.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
6. 6.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
7. 7.🎯 Aarav’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
8. 8.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
9. 9.❌ Rohan’s handwriting reader was tested on 15 new handwritten letters and got 13 right. How many did it get wrong?
10. 10.📋 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
11. 11.📋 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
12. 12.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
13. 13.🎯 Rohan’s leaf identifier is 60% accurate. If it is tested on 90 new leaf photos, how many should it get right?
14. 14.🎯 Vihaan’s leaf identifier is 90% accurate. If it is tested on 80 new leaf photos, how many should it get right?
15. 15.📋 Planning an AI project: which comes first — let it learn patterns or set aside test photos? (a) let it learn patterns (b) set aside test photos
16. 16.📋 Planning an AI project: which comes first — choose what to sort or split train and test? (a) choose what to sort (b) split train and test
17. 17.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
18. 18.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
19. 19.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
20. 20.❌ Diya’s leaf identifier was tested on 26 new leaf photos and got 24 right. How many did it get wrong?
21. 21.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
22. 22.🎯 Diya’s recycling sorter is 70% accurate. If it is tested on 10 new waste photos, how many should it get right?
23. 23.🎯 Kabir’s spam spotter was tested on 20 new messages and got 12 right. What is its accuracy in percent?
24. 24.🎯 Vihaan’s recycling sorter is 50% accurate. If it is tested on 50 new waste photos, how many should it get right?
25. 25.🎯 Aarav’s handwriting reader is 50% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
26. 26.🎯 Ishaan’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
27. 27.📦 Tara collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
28. 28.📦 Ishaan collected 170 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
29. 29.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) a new colour screen (d) fewer examples
30. 30.📦 Tara collected 150 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
31. 31.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
32. 32.❌ Nisha’s fruit sorter was tested on 29 new fruit photos and got 20 right. How many did it get wrong?
33. 33.🎯 Meera’s recycling sorter is 80% accurate. If it is tested on 50 new waste photos, how many should it get right?
34. 34.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
35. 35.📋 Planning an AI project: which comes first — work out the accuracy or recheck every label? (a) work out the accuracy (b) recheck every label
36. 36.🎯 Meera’s bird-song app is 50% accurate. If it is tested on 80 new bird songs, how many should it get right?
37. 37.📋 Planning an AI project: which comes first — recheck every label or work out the accuracy? (a) recheck every label (b) work out the accuracy
38. 38.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
39. 39.🎯 Meera’s recycling sorter is 50% accurate. If it is tested on 60 new waste photos, how many should it get right?
40. 40.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?

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