Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 105 · 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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) a new colour screen (d) more labelled examples
2. 2.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
3. 3.📋 Planning an AI project: which comes first — try unseen examples or pick a question to solve? (a) try unseen examples (b) pick a question to solve
4. 4.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
5. 5.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 23 right and Model B got 22 right. How many percentage points more accurate is Model A?
6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to see if it learned (d) to save paper
7. 7.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) total × 2 (d) correct + total
8. 8.❌ Ishaan’s fruit sorter was tested on 35 new fruit photos and got 28 right. How many did it get wrong?
9. 9.❌ Ishaan’s recycling sorter was tested on 29 new waste photos and got 26 right. How many did it get wrong?
10. 10.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
11. 11.❌ Meera’s fruit sorter was tested on 46 new fruit photos and got 42 right. How many did it get wrong?
12. 12.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
13. 13.📋 Planning an AI project: which comes first — pick a question to solve or split train and test? (a) pick a question to solve (b) split train and test
14. 14.📋 Planning an AI project: which comes first — set aside test photos or recheck every label? (a) set aside test photos (b) recheck every label
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 — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
17. 17.📋 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
18. 18.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
19. 19.📋 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
20. 20.❌ Tara’s fruit sorter was tested on 46 new fruit photos and got 44 right. How many did it get wrong?
21. 21.⚖️ 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?
22. 22.🎯 Arjun’s leaf identifier was tested on 25 new leaf photos and got 23 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
24. 24.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) paper and examples (d) a secret password
25. 25.🎯 Kabir’s leaf identifier is 90% accurate. If it is tested on 100 new leaf photos, how many should it get right?
26. 26.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
27. 27.🎯 Kabir’s spam spotter is 60% accurate. If it is tested on 20 new messages, how many should it get right?
28. 28.📦 Saanvi collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
29. 29.📦 Meera collected 150 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
30. 30.📋 Planning an AI project: which comes first — collect fruit photos or recheck every label? (a) collect fruit photos (b) recheck every label
31. 31.❌ Ananya’s leaf identifier was tested on 46 new leaf photos and got 39 right. How many did it get wrong?
32. 32.📦 Diya collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
33. 33.🎯 Ishaan’s bird-song app was tested on 10 new bird songs and got 5 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — choose what to sort or test on new photos? (a) choose what to sort (b) test on new photos
35. 35.📋 Planning an AI project: which comes first — collect fruit photos or fix it and test again? (a) collect fruit photos (b) fix it and test again
36. 36.🎯 Vihaan’s bird-song app was tested on 25 new bird songs and got 15 right. What is its accuracy in percent?
37. 37.📦 Meera collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
38. 38.❌ Aarav’s fruit sorter was tested on 26 new fruit photos and got 24 right. How many did it get wrong?
39. 39.🎯 Nisha’s spam spotter is 90% accurate. If it is tested on 60 new messages, how many should it get right?
40. 40.🎯 Ananya’s spam spotter is 60% accurate. If it is tested on 60 new messages, how many should it get right?

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