Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 645 · 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.❌ Aarav’s leaf identifier was tested on 14 new leaf photos and got 12 right. How many did it get wrong?
2. 2.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to make it faster (d) to save paper
3. 3.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
4. 4.📋 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
5. 5.🎯 Kabir’s leaf identifier is 50% accurate. If it is tested on 80 new leaf photos, how many should it get right?
6. 6.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
7. 7.🎯 Saanvi’s fruit sorter is 90% accurate. If it is tested on 60 new fruit photos, how many should it get right?
8. 8.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
9. 9.📦 Rohan collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
10. 10.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
11. 11.🎯 Aarav’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
12. 12.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
13. 13.📦 Kabir collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
14. 14.🎯 Vihaan’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
15. 15.🎯 Arjun’s recycling sorter is 50% accurate. If it is tested on 30 new waste photos, how many should it get right?
16. 16.📋 Planning an AI project: which comes first — try unseen examples or choose what to sort? (a) try unseen examples (b) choose what to sort
17. 17.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 16 right. How many percentage points more accurate is Model A?
18. 18.🎯 Ishaan’s spam spotter is 70% accurate. If it is tested on 60 new messages, how many should it get right?
19. 19.❌ Nisha’s spam spotter was tested on 47 new messages and got 41 right. How many did it get wrong?
20. 20.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
21. 21.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
22. 22.❌ Aarav’s fruit sorter was tested on 37 new fruit photos and got 32 right. How many did it get wrong?
23. 23.🎯 Rohan’s handwriting reader was tested on 10 new handwritten letters and got 7 right. What is its accuracy in percent?
24. 24.🎯 Kabir’s fruit sorter was tested on 25 new fruit photos and got 21 right. What is its accuracy in percent?
25. 25.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) paper and examples (d) nothing at all
26. 26.🎯 Diya’s leaf identifier was tested on 50 new leaf photos and got 50 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — fix it and test again or let it learn patterns? (a) fix it and test again (b) let it learn patterns
28. 28.📦 Ananya collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
29. 29.🎯 Kabir’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
30. 30.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
31. 31.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 19 right and Model B got 17 right. How many percentage points more accurate is Model A?
32. 32.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 49 right and Model B got 48 right. How many percentage points more accurate is Model A?
33. 33.❌ Ananya’s bird-song app was tested on 40 new bird songs and got 39 right. How many did it get wrong?
34. 34.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
35. 35.🎯 Ananya’s bird-song app was tested on 10 new bird songs and got 6 right. What is its accuracy in percent?
36. 36.🎯 Kabir’s fruit sorter was tested on 10 new fruit photos and got 6 right. What is its accuracy in percent?
37. 37.📋 Planning an AI project: which comes first — fix it and test again or correct bad labels? (a) fix it and test again (b) correct bad labels
38. 38.📦 Aarav collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
39. 39.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
40. 40.🎯 Kabir’s handwriting reader is 70% accurate. If it is tested on 90 new handwritten letters, how many should it get right?

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