Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 417 · 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 — collect fruit photos or try unseen examples? (a) collect fruit photos (b) try unseen examples
2. 2.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
3. 3.🎯 Diya’s leaf identifier was tested on 10 new leaf photos and got 5 right. What is its accuracy in percent?
4. 4.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) only a big robot (d) paper and examples
5. 5.📦 Nisha collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
6. 6.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
7. 7.🎯 Rohan’s handwriting reader is 90% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
8. 8.🎯 Aarav’s spam spotter was tested on 25 new messages and got 22 right. What is its accuracy in percent?
9. 9.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
10. 10.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to make it faster (d) to save paper
11. 11.❌ Ananya’s bird-song app was tested on 42 new bird songs and got 40 right. How many did it get wrong?
12. 12.📋 Planning an AI project: which comes first — let it learn patterns or pick a question to solve? (a) let it learn patterns (b) pick a question to solve
13. 13.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 25 right and Model B got 19 right. How many percentage points more accurate is Model A?
14. 14.❌ Ishaan’s handwriting reader was tested on 19 new handwritten letters and got 10 right. How many did it get wrong?
15. 15.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
16. 16.📋 Planning an AI project: which comes first — work out the accuracy or gather many examples? (a) work out the accuracy (b) gather many examples
17. 17.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
18. 18.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) fewer examples (d) a new colour screen
19. 19.❌ Rohan’s fruit sorter was tested on 27 new fruit photos and got 20 right. How many did it get wrong?
20. 20.📋 Planning an AI project: which comes first — collect fruit photos or split train and test? (a) collect fruit photos (b) split train and test
21. 21.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
22. 22.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 48 right and Model B got 43 right. How many percentage points more accurate is Model A?
23. 23.❌ Ananya’s leaf identifier was tested on 21 new leaf photos and got 14 right. How many did it get wrong?
24. 24.📋 Planning an AI project: which comes first — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
25. 25.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
26. 26.📋 Planning an AI project: which comes first — try unseen examples or recheck every label? (a) try unseen examples (b) recheck every label
27. 27.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
28. 28.🎯 Rohan’s fruit sorter is 70% accurate. If it is tested on 40 new fruit photos, how many should it get right?
29. 29.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
30. 30.🎯 Diya’s leaf identifier was tested on 25 new leaf photos and got 25 right. What is its accuracy in percent?
31. 31.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
32. 32.⚖️ 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?
33. 33.🎯 Tara’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — choose what to sort or gather many examples? (a) choose what to sort (b) gather many examples
35. 35.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
36. 36.🎯 Meera’s leaf identifier was tested on 10 new leaf photos and got 7 right. What is its accuracy in percent?
37. 37.🎯 Ananya’s bird-song app is 60% accurate. If it is tested on 20 new bird songs, how many should it get right?
38. 38.📋 Planning an AI project: which comes first — try unseen examples or choose what to sort? (a) try unseen examples (b) choose what to sort
39. 39.🎯 Rohan’s leaf identifier is 90% accurate. If it is tested on 50 new leaf photos, how many should it get right?
40. 40.🎯 Saanvi’s bird-song app is 50% accurate. If it is tested on 40 new bird songs, how many should it get right?

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