Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 562 · 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 × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
2. 2.🎯 Kabir’s leaf identifier is 60% accurate. If it is tested on 70 new leaf photos, how many should it get right?
3. 3.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
4. 4.📦 Ishaan collected 150 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
5. 5.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 23 right and Model B got 18 right. How many percentage points more accurate is Model A?
6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
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.📋 Planning an AI project: which comes first — choose what to sort or train the model? (a) choose what to sort (b) train the model
9. 9.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
10. 10.🎯 Rohan’s fruit sorter was tested on 10 new fruit photos and got 6 right. What is its accuracy in percent?
11. 11.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
12. 12.🎯 Vihaan’s leaf identifier is 50% accurate. If it is tested on 60 new leaf photos, how many should it get right?
13. 13.🎯 Kabir’s recycling sorter was tested on 10 new waste photos and got 7 right. What is its accuracy in percent?
14. 14.🎯 Saanvi’s handwriting reader was tested on 10 new handwritten letters and got 8 right. What is its accuracy in percent?
15. 15.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
16. 16.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
17. 17.❌ Diya’s leaf identifier was tested on 43 new leaf photos and got 40 right. How many did it get wrong?
18. 18.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
19. 19.📦 Rohan collected 120 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
20. 20.❌ Ishaan’s fruit sorter was tested on 49 new fruit photos and got 46 right. How many did it get wrong?
21. 21.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 25 right and Model B got 23 right. How many percentage points more accurate is Model A?
22. 22.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
23. 23.🎯 Kabir’s handwriting reader is 50% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
24. 24.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
25. 25.📦 Aarav collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
26. 26.📦 Arjun collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
27. 27.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
28. 28.🎯 Tara’s leaf identifier was tested on 20 new leaf photos and got 15 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
30. 30.📦 Diya collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
31. 31.❌ Vihaan’s recycling sorter was tested on 12 new waste photos and got 11 right. How many did it get wrong?
32. 32.📋 Planning an AI project: which comes first — improve data, retest or recheck every label? (a) improve data, retest (b) recheck every label
33. 33.🎯 Rohan’s spam spotter was tested on 10 new messages and got 8 right. What is its accuracy in percent?
34. 34.📦 Ananya collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
35. 35.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 39 right and Model B got 30 right. How many percentage points more accurate is Model A?
36. 36.❌ Rohan’s spam spotter was tested on 36 new messages and got 31 right. How many did it get wrong?
37. 37.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
38. 38.📋 Planning an AI project: which comes first — gather many examples or pick a question to solve? (a) gather many examples (b) pick a question to solve
39. 39.📋 Planning an AI project: which comes first — choose what to sort or gather many examples? (a) choose what to sort (b) gather many examples
40. 40.❌ Meera’s recycling sorter was tested on 17 new waste photos and got 16 right. How many did it get wrong?

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