Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 400 · 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.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 22 right and Model B got 19 right. How many percentage points more accurate is Model A?
2. 2.📋 Planning an AI project: which comes first — choose what to sort or try unseen examples? (a) choose what to sort (b) try unseen examples
3. 3.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
4. 4.📋 Planning an AI project: which comes first — let it learn patterns or label each example? (a) let it learn patterns (b) label each example
5. 5.📋 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
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) a louder speaker (d) fewer examples
7. 7.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
8. 8.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 21 right and Model B got 14 right. How many percentage points more accurate is Model A?
9. 9.🎯 Saanvi’s spam spotter is 90% accurate. If it is tested on 40 new messages, how many should it get right?
10. 10.📦 Nisha collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
11. 11.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
12. 12.🎯 Aarav’s leaf identifier is 60% accurate. If it is tested on 50 new leaf photos, how many should it get right?
13. 13.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to make it bigger (d) to save paper
14. 14.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) nothing at all (d) paper and examples
15. 15.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
16. 16.🎯 Saanvi’s spam spotter is 90% accurate. If it is tested on 90 new messages, how many should it get right?
17. 17.❌ Ananya’s recycling sorter was tested on 24 new waste photos and got 16 right. How many did it get wrong?
18. 18.📋 Planning an AI project: which comes first — collect fruit photos or work out the accuracy? (a) collect fruit photos (b) work out the accuracy
19. 19.📦 Kabir collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
20. 20.🎯 Meera’s fruit sorter was tested on 50 new fruit photos and got 43 right. What is its accuracy in percent?
21. 21.🎯 Aarav’s handwriting reader was tested on 20 new handwritten letters and got 13 right. What is its accuracy in percent?
22. 22.📋 Planning an AI project: which comes first — test on new photos or set aside test photos? (a) test on new photos (b) set aside test photos
23. 23.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
24. 24.📦 Ishaan collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
25. 25.🎯 Tara’s leaf identifier was tested on 20 new leaf photos and got 11 right. What is its accuracy in percent?
26. 26.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 49 right and Model B got 34 right. How many percentage points more accurate is Model A?
27. 27.📦 Kabir collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
28. 28.📋 Planning an AI project: which comes first — improve data, retest or gather many examples? (a) improve data, retest (b) gather many examples
29. 29.🎯 Rohan’s leaf identifier is 70% accurate. If it is tested on 50 new leaf photos, how many should it get right?
30. 30.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
31. 31.📋 Planning an AI project: which comes first — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy
32. 32.🎯 Diya’s fruit sorter was tested on 25 new fruit photos and got 14 right. What is its accuracy in percent?
33. 33.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 24 right and Model B got 16 right. How many percentage points more accurate is Model A?
34. 34.📋 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
35. 35.🎯 Kabir’s recycling sorter is 60% accurate. If it is tested on 40 new waste photos, how many should it get right?
36. 36.🎯 Kabir’s spam spotter is 90% accurate. If it is tested on 50 new messages, how many should it get right?
37. 37.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
38. 38.❌ Aarav’s bird-song app was tested on 15 new bird songs and got 13 right. How many did it get wrong?
39. 39.⚖️ 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?
40. 40.🎯 Aarav’s handwriting reader was tested on 5 new handwritten letters and got 4 right. What is its accuracy in percent?

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