Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 575 · 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 train the model? (a) collect fruit photos (b) train the model
2. 2.📦 Ishaan collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
3. 3.🎯 Arjun’s leaf identifier was tested on 10 new leaf photos and got 5 right. What is its accuracy in percent?
4. 4.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 33 right and Model B got 25 right. How many percentage points more accurate is Model A?
5. 5.📦 Ananya collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a new colour screen (d) a louder speaker
7. 7.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
8. 8.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
9. 9.🎯 Arjun’s leaf identifier is 90% accurate. If it is tested on 40 new leaf photos, how many should it get right?
10. 10.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
11. 11.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
12. 12.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
13. 13.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
14. 14.🎯 Ishaan’s handwriting reader was tested on 20 new handwritten letters and got 14 right. What is its accuracy in percent?
15. 15.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) nothing at all (d) only a big robot
16. 16.🎯 Saanvi’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
17. 17.❌ Saanvi’s fruit sorter was tested on 20 new fruit photos and got 12 right. How many did it get wrong?
18. 18.🧪 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
19. 19.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
20. 20.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
21. 21.❌ Aarav’s spam spotter was tested on 29 new messages and got 25 right. How many did it get wrong?
22. 22.📋 Planning an AI project: which comes first — recheck every label or fix it and test again? (a) recheck every label (b) fix it and test again
23. 23.🎯 Kabir’s handwriting reader is 70% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
24. 24.📦 Tara 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.❌ Nisha’s recycling sorter was tested on 47 new waste photos and got 43 right. How many did it get wrong?
26. 26.❌ Arjun’s recycling sorter was tested on 48 new waste photos and got 39 right. How many did it get wrong?
27. 27.❌ Saanvi’s leaf identifier was tested on 17 new leaf photos and got 10 right. How many did it get wrong?
28. 28.📦 Arjun collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
29. 29.❌ Arjun’s fruit sorter was tested on 32 new fruit photos and got 23 right. How many did it get wrong?
30. 30.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 14 right and Model B got 13 right. How many percentage points more accurate is Model A?
31. 31.🎯 Rohan’s fruit sorter was tested on 50 new fruit photos and got 25 right. What is its accuracy in percent?
32. 32.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 14 right. How many percentage points more accurate is Model A?
33. 33.📋 Planning an AI project: which comes first — recheck every label or calculate percent right? (a) recheck every label (b) calculate percent right
34. 34.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
35. 35.📋 Planning an AI project: which comes first — pick a question to solve or test on new photos? (a) pick a question to solve (b) test on new photos
36. 36.📦 Diya collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
37. 37.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
38. 38.🎯 Nisha’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
39. 39.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) correct + total (d) total − correct
40. 40.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos

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