Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 251 · 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 — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
2. 2.🎯 Vihaan’s leaf identifier is 90% accurate. If it is tested on 80 new leaf photos, how many should it get right?
3. 3.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
4. 4.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
5. 5.📋 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
6. 6.📋 Planning an AI project: which comes first — improve data, retest or choose what to sort? (a) improve data, retest (b) choose what to sort
7. 7.❌ Aarav’s recycling sorter was tested on 17 new waste photos and got 12 right. How many did it get wrong?
8. 8.🎯 Meera’s spam spotter was tested on 20 new messages and got 14 right. What is its accuracy in percent?
9. 9.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model
10. 10.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
11. 11.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) a louder speaker (d) fewer examples
12. 12.🧪 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
13. 13.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
14. 14.📋 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
15. 15.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
16. 16.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
17. 17.📋 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
18. 18.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
19. 19.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 38 right and Model B got 31 right. How many percentage points more accurate is Model A?
20. 20.🎯 Saanvi’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
21. 21.❌ Ishaan’s handwriting reader was tested on 18 new handwritten letters and got 16 right. How many did it get wrong?
22. 22.🎯 Arjun’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
23. 23.❌ Aarav’s fruit sorter was tested on 36 new fruit photos and got 30 right. How many did it get wrong?
24. 24.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
25. 25.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
26. 26.❌ Rohan’s bird-song app was tested on 27 new bird songs and got 26 right. How many did it get wrong?
27. 27.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
28. 28.📋 Planning an AI project: which comes first — work out the accuracy or recheck every label? (a) work out the accuracy (b) recheck every label
29. 29.❌ Nisha’s handwriting reader was tested on 31 new handwritten letters and got 23 right. How many did it get wrong?
30. 30.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
31. 31.🎯 Saanvi’s recycling sorter is 60% accurate. If it is tested on 50 new waste photos, how many should it get right?
32. 32.📦 Saanvi collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
33. 33.🎯 Aarav’s leaf identifier is 90% accurate. If it is tested on 20 new leaf 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.❌ Rohan’s spam spotter was tested on 35 new messages and got 29 right. How many did it get wrong?
36. 36.❌ Rohan’s leaf identifier was tested on 28 new leaf photos and got 25 right. How many did it get wrong?
37. 37.📦 Ishaan collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
38. 38.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
39. 39.📦 Saanvi collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
40. 40.❌ Ishaan’s fruit sorter was tested on 42 new fruit photos and got 35 right. How many did it get wrong?

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