Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 344 · 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 collect fruit photos? (a) work out the accuracy (b) collect fruit photos
2. 2.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 14 right and Model B got 13 right. How many percentage points more accurate is Model A?
3. 3.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) a secret password (d) only a big robot
4. 4.🎯 Tara’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
5. 5.🎯 Meera’s bird-song app is 60% accurate. If it is tested on 50 new bird songs, how many should it get right?
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) more labelled examples (d) fewer examples
7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to save paper (d) to make it faster
8. 8.🎯 Ishaan’s spam spotter is 50% accurate. If it is tested on 10 new messages, how many should it get right?
9. 9.❌ Arjun’s fruit sorter was tested on 32 new fruit photos and got 30 right. How many did it get wrong?
10. 10.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
11. 11.🎯 Rohan’s spam spotter was tested on 25 new messages and got 25 right. What is its accuracy in percent?
12. 12.📋 Planning an AI project: which comes first — set aside test photos or pick a question to solve? (a) set aside test photos (b) pick a question to solve
13. 13.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 14 right and Model B got 10 right. How many percentage points more accurate is Model A?
14. 14.❌ Rohan’s leaf identifier was tested on 24 new leaf photos and got 19 right. How many did it get wrong?
15. 15.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
16. 16.📋 Planning an AI project: which comes first — train the model or gather many examples? (a) train the model (b) gather many examples
17. 17.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
18. 18.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 46 right and Model B got 26 right. How many percentage points more accurate is Model A?
19. 19.📦 Vihaan collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
20. 20.🎯 Tara’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
21. 21.🎯 Kabir’s fruit sorter is 80% accurate. If it is tested on 40 new fruit photos, how many should it get right?
22. 22.📋 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
23. 23.🎯 Kabir’s handwriting reader is 50% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
24. 24.❌ Rohan’s spam spotter was tested on 26 new messages and got 25 right. How many did it get wrong?
25. 25.🎯 Vihaan’s fruit sorter was tested on 50 new fruit photos and got 32 right. What is its accuracy in percent?
26. 26.📋 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
27. 27.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 18 right and Model B got 10 right. How many percentage points more accurate is Model A?
28. 28.🎯 Kabir’s recycling sorter is 50% accurate. If it is tested on 60 new waste photos, how many should it get right?
29. 29.📦 Ishaan collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
30. 30.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
31. 31.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
32. 32.❌ Tara’s fruit sorter was tested on 42 new fruit photos and got 37 right. How many did it get wrong?
33. 33.📋 Planning an AI project: which comes first — set aside test photos or tag each photo by type? (a) set aside test photos (b) tag each photo by type
34. 34.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
35. 35.📋 Planning an AI project: which comes first — work out the accuracy or recheck every label? (a) work out the accuracy (b) recheck every label
36. 36.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
37. 37.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
38. 38.❌ Ananya’s fruit sorter was tested on 37 new fruit photos and got 34 right. How many did it get wrong?
39. 39.📋 Planning an AI project: which comes first — tag each photo by type or let it learn patterns? (a) tag each photo by type (b) let it learn patterns
40. 40.❌ Vihaan’s handwriting reader was tested on 36 new handwritten letters and got 29 right. How many did it get wrong?

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