Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 219 · 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 — choose what to sort or set aside test photos? (a) choose what to sort (b) set aside test photos
2. 2.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to make it bigger (d) to save paper
3. 3.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
4. 4.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a louder speaker (d) a new colour screen
5. 5.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) nothing at all (d) only a big robot
6. 6.🎯 Aarav’s leaf identifier is 90% accurate. If it is tested on 20 new leaf photos, how many should it get right?
7. 7.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
8. 8.📦 Saanvi collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
9. 9.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
10. 10.🎯 Arjun’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
11. 11.🎯 Kabir’s spam spotter was tested on 25 new messages and got 21 right. What is its accuracy in percent?
12. 12.🎯 Kabir’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
13. 13.❌ Nisha’s fruit sorter was tested on 20 new fruit photos and got 17 right. How many did it get wrong?
14. 14.🎯 Aarav’s fruit sorter was tested on 10 new fruit photos and got 6 right. What is its accuracy in percent?
15. 15.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
16. 16.🎯 Aarav’s recycling sorter was tested on 20 new waste photos and got 11 right. What is its accuracy in percent?
17. 17.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
18. 18.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 18 right and Model B got 13 right. How many percentage points more accurate is Model A?
19. 19.❌ Rohan’s bird-song app was tested on 48 new bird songs and got 40 right. How many did it get wrong?
20. 20.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 17 right and Model B got 13 right. How many percentage points more accurate is Model A?
21. 21.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
22. 22.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
23. 23.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
24. 24.🎯 Saanvi’s leaf identifier was tested on 20 new leaf photos and got 20 right. What is its accuracy in percent?
25. 25.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
26. 26.📦 Meera collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
27. 27.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
28. 28.📋 Planning an AI project: which comes first — pick a question to solve or improve data, retest? (a) pick a question to solve (b) improve data, retest
29. 29.🎯 Tara’s fruit sorter is 80% accurate. If it is tested on 30 new fruit photos, how many should it get right?
30. 30.🎯 Aarav’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
31. 31.🎯 Ananya’s fruit sorter was tested on 10 new fruit photos and got 7 right. What is its accuracy in percent?
32. 32.❌ Ananya’s spam spotter was tested on 19 new messages and got 17 right. How many did it get wrong?
33. 33.🎯 Diya’s handwriting reader was tested on 50 new handwritten letters and got 32 right. What is its accuracy in percent?
34. 34.❌ Ishaan’s recycling sorter was tested on 24 new waste photos and got 16 right. How many did it get wrong?
35. 35.📋 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
36. 36.❌ Tara’s fruit sorter was tested on 19 new fruit photos and got 11 right. How many did it get wrong?
37. 37.📋 Planning an AI project: which comes first — choose what to sort or let it learn patterns? (a) choose what to sort (b) let it learn patterns
38. 38.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
39. 39.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
40. 40.📦 Kabir collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?

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