Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 976 · 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 tag each photo by type? (a) split train and test (b) tag each photo by type
2. 2.📦 Diya collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
3. 3.🎯 Diya’s bird-song app is 80% accurate. If it is tested on 10 new bird songs, how many should it get right?
4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
5. 5.❌ Vihaan’s leaf identifier was tested on 34 new leaf photos and got 30 right. How many did it get wrong?
6. 6.📋 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
7. 7.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?
8. 8.📦 Saanvi collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
9. 9.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct ÷ total × 100 (d) correct + total
10. 10.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
11. 11.🎯 Saanvi’s fruit sorter is 70% accurate. If it is tested on 80 new fruit photos, how many should it get right?
12. 12.🎯 Ishaan’s spam spotter was tested on 20 new messages and got 15 right. What is its accuracy in percent?
13. 13.🎯 Diya’s leaf identifier is 50% accurate. If it is tested on 90 new leaf photos, how many should it get right?
14. 14.❌ Arjun’s bird-song app was tested on 26 new bird songs and got 22 right. How many did it get wrong?
15. 15.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
16. 16.📋 Planning an AI project: which comes first — gather many examples or label each example? (a) gather many examples (b) label each example
17. 17.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
18. 18.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
19. 19.📦 Ananya collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
20. 20.🎯 Tara’s handwriting reader was tested on 25 new handwritten letters and got 16 right. What is its accuracy in percent?
21. 21.📦 Tara collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
22. 22.📋 Planning an AI project: which comes first — choose what to sort or let it learn patterns? (a) choose what to sort (b) let it learn patterns
23. 23.📋 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
24. 24.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 42 right and Model B got 29 right. How many percentage points more accurate is Model A?
25. 25.❌ Vihaan’s recycling sorter was tested on 37 new waste photos and got 35 right. How many did it get wrong?
26. 26.📋 Planning an AI project: which comes first — try unseen examples or label each example? (a) try unseen examples (b) label each example
27. 27.🎯 Ishaan’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
28. 28.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
29. 29.📋 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
30. 30.🎯 Ananya’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
31. 31.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
32. 32.📋 Planning an AI project: which comes first — split train and test or gather many examples? (a) split train and test (b) gather many examples
33. 33.🎯 Rohan’s bird-song app was tested on 20 new bird songs and got 13 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — tag each photo by type or train the model? (a) tag each photo by type (b) train the model
35. 35.📦 Meera collected 90 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
36. 36.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 17 right. How many percentage points more accurate is Model A?
37. 37.🎯 Aarav’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
38. 38.🎯 Diya’s fruit sorter is 60% accurate. If it is tested on 30 new fruit photos, how many should it get right?
39. 39.📦 Aarav collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
40. 40.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos

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