Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 849 · 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.📋 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
2. 2.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
3. 3.📦 Vihaan collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
4. 4.🎯 Aarav’s leaf identifier is 60% accurate. If it is tested on 30 new leaf photos, how many should it get right?
5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
6. 6.❌ Diya’s leaf identifier was tested on 49 new leaf photos and got 40 right. How many did it get wrong?
7. 7.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
8. 8.🎯 Kabir’s spam spotter was tested on 25 new messages and got 21 right. What is its accuracy in percent?
9. 9.🎯 Saanvi’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
10. 10.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) total × 2 (d) correct + total
11. 11.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
12. 12.📋 Planning an AI project: which comes first — tag each photo by type or correct bad labels? (a) tag each photo by type (b) correct bad labels
13. 13.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
14. 14.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
15. 15.🎯 Aarav’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
16. 16.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to save paper (d) to see if it learned
17. 17.🎯 Vihaan’s recycling sorter is 90% accurate. If it is tested on 40 new waste photos, how many should it get right?
18. 18.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 43 right and Model B got 42 right. How many percentage points more accurate is Model A?
19. 19.🧪 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
20. 20.📋 Planning an AI project: which comes first — recheck every label or pick a question to solve? (a) recheck every label (b) pick a question to solve
21. 21.🎯 Nisha’s recycling sorter is 70% accurate. If it is tested on 30 new waste photos, how many should it get right?
22. 22.📦 Ishaan collected 140 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
23. 23.📦 Meera collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
24. 24.❌ Nisha’s handwriting reader was tested on 26 new handwritten letters and got 19 right. How many did it get wrong?
25. 25.🎯 Ishaan’s leaf identifier was tested on 50 new leaf photos and got 31 right. What is its accuracy in percent?
26. 26.📦 Saanvi collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
27. 27.🎯 Kabir’s leaf identifier was tested on 50 new leaf photos and got 31 right. What is its accuracy in percent?
28. 28.🎯 Ananya’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
30. 30.🎯 Nisha’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
31. 31.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
32. 32.📋 Planning an AI project: which comes first — test on new photos or collect fruit photos? (a) test on new photos (b) collect fruit photos
33. 33.🎯 Tara’s leaf identifier is 60% accurate. If it is tested on 30 new leaf photos, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
35. 35.📋 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
36. 36.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
37. 37.❌ Aarav’s bird-song app was tested on 46 new bird songs and got 41 right. How many did it get wrong?
38. 38.🎯 Nisha’s handwriting reader is 90% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
39. 39.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
40. 40.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 21 right. How many percentage points more accurate is Model A?

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