Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 362 · 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 — split train and test or fix it and test again? (a) split train and test (b) fix it and test again
2. 2.📋 Planning an AI project: which comes first — fix it and test again or recheck every label? (a) fix it and test again (b) recheck every label
3. 3.🎯 Nisha’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
4. 4.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
5. 5.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
6. 6.📋 Planning an AI project: which comes first — set aside test photos or test on new photos? (a) set aside test photos (b) test on new photos
7. 7.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) only a big robot (d) nothing at all
8. 8.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) more labelled examples (d) a louder speaker
9. 9.🎯 Arjun’s handwriting reader is 90% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
10. 10.📋 Planning an AI project: which comes first — collect fruit photos or try unseen examples? (a) collect fruit photos (b) try unseen examples
11. 11.🎯 Arjun’s fruit sorter is 70% accurate. If it is tested on 40 new fruit photos, how many should it get right?
12. 12.❌ Diya’s handwriting reader was tested on 46 new handwritten letters and got 43 right. How many did it get wrong?
13. 13.📦 Arjun collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
14. 14.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 17 right and Model B got 14 right. How many percentage points more accurate is Model A?
15. 15.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
16. 16.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to save paper (d) to see if it learned
17. 17.❌ Meera’s fruit sorter was tested on 25 new fruit photos and got 23 right. How many did it get wrong?
18. 18.🎯 Arjun’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
19. 19.📦 Nisha collected 90 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
20. 20.🎯 Kabir’s handwriting reader is 80% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
22. 22.🎯 Aarav’s fruit sorter was tested on 50 new fruit photos and got 39 right. What is its accuracy in percent?
23. 23.📦 Nisha collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
24. 24.🎯 Nisha’s fruit sorter is 60% accurate. If it is tested on 40 new fruit photos, how many should it get right?
25. 25.❌ Vihaan’s leaf identifier was tested on 43 new leaf photos and got 35 right. How many did it get wrong?
26. 26.📋 Planning an AI project: which comes first — try unseen examples or choose what to sort? (a) try unseen examples (b) choose what to sort
27. 27.🎯 Meera’s spam spotter is 60% accurate. If it is tested on 80 new messages, how many should it get right?
28. 28.🎯 Saanvi’s recycling sorter was tested on 25 new waste photos and got 24 right. What is its accuracy in percent?
29. 29.❌ Rohan’s bird-song app was tested on 21 new bird songs and got 20 right. How many did it get wrong?
30. 30.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
31. 31.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
32. 32.🎯 Ishaan’s leaf identifier is 80% accurate. If it is tested on 60 new leaf photos, how many should it get right?
33. 33.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
34. 34.📦 Tara collected 200 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
35. 35.🎯 Saanvi’s leaf identifier is 90% accurate. If it is tested on 70 new leaf photos, how many should it get right?
36. 36.📦 Nisha collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
37. 37.🎯 Aarav’s leaf identifier is 50% accurate. If it is tested on 20 new leaf photos, how many should it get right?
38. 38.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 20 right. How many percentage points more accurate is Model A?
39. 39.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
40. 40.❌ Rohan’s spam spotter was tested on 26 new messages and got 25 right. How many did it get wrong?

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