Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 567 · 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 — test on new photos or train the model? (a) test on new photos (b) train the model
2. 2.🎯 Kabir’s spam spotter is 50% accurate. If it is tested on 20 new messages, how many should it get right?
3. 3.🎯 Vihaan’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
4. 4.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
5. 5.🧪 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
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) fewer examples (d) a louder speaker
7. 7.❌ Aarav’s handwriting reader was tested on 43 new handwritten letters and got 37 right. How many did it get wrong?
8. 8.📦 Ananya collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
9. 9.📋 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
10. 10.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
11. 11.🎯 Saanvi’s leaf identifier is 50% accurate. If it is tested on 30 new leaf photos, how many should it get right?
12. 12.🎯 Tara’s fruit sorter is 90% accurate. If it is tested on 30 new fruit photos, how many should it get right?
13. 13.📦 Tara collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
14. 14.📋 Planning an AI project: which comes first — train the model or tag each photo by type? (a) train the model (b) tag each photo by type
15. 15.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
16. 16.📋 Planning an AI project: which comes first — fix it and test again or collect fruit photos? (a) fix it and test again (b) collect fruit photos
17. 17.📦 Vihaan collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
18. 18.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
19. 19.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
20. 20.🎯 Rohan’s leaf identifier was tested on 50 new leaf photos and got 31 right. What is its accuracy in percent?
21. 21.🎯 Ananya’s bird-song app was tested on 25 new bird songs and got 20 right. What is its accuracy in percent?
22. 22.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
23. 23.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
24. 24.❌ Tara’s fruit sorter was tested on 44 new fruit photos and got 37 right. How many did it get wrong?
25. 25.❌ Ishaan’s leaf identifier was tested on 48 new leaf photos and got 47 right. How many did it get wrong?
26. 26.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
27. 27.🎯 Ananya’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — tag each photo by type or fix it and test again? (a) tag each photo by type (b) fix it and test again
29. 29.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
30. 30.🎯 Ishaan’s leaf identifier is 60% accurate. If it is tested on 90 new leaf photos, how many should it get right?
31. 31.❌ Nisha’s fruit sorter was tested on 25 new fruit photos and got 21 right. How many did it get wrong?
32. 32.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
33. 33.📋 Planning an AI project: which comes first — improve data, retest or recheck every label? (a) improve data, retest (b) recheck every label
34. 34.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
35. 35.📋 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
36. 36.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 19 right and Model B got 14 right. How many percentage points more accurate is Model A?
37. 37.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
38. 38.🎯 Vihaan’s spam spotter is 90% accurate. If it is tested on 30 new messages, how many should it get right?
39. 39.📦 Arjun collected 90 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
40. 40.🎯 Saanvi’s recycling sorter was tested on 20 new waste photos and got 19 right. What is its accuracy in percent?

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