Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 963 · 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.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) only a big robot (d) a secret password
2. 2.🎯 Arjun’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
3. 3.❌ Kabir’s recycling sorter was tested on 47 new waste photos and got 43 right. How many did it get wrong?
4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to make it bigger (d) to save paper
5. 5.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
6. 6.📋 Planning an AI project: which comes first — try unseen examples or gather many examples? (a) try unseen examples (b) gather many examples
7. 7.📦 Kabir collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
8. 8.📦 Saanvi collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
9. 9.📦 Diya collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
10. 10.❌ Aarav’s handwriting reader was tested on 39 new handwritten letters and got 34 right. How many did it get wrong?
11. 11.📋 Planning an AI project: which comes first — tag each photo by type or split train and test? (a) tag each photo by type (b) split train and test
12. 12.❌ Nisha’s bird-song app was tested on 30 new bird songs and got 29 right. How many did it get wrong?
13. 13.📋 Planning an AI project: which comes first — work out the accuracy or choose what to sort? (a) work out the accuracy (b) choose what to sort
14. 14.🎯 Ishaan’s leaf identifier is 80% accurate. If it is tested on 90 new leaf photos, how many should it get right?
15. 15.📦 Arjun collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
16. 16.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 36 right and Model B got 27 right. How many percentage points more accurate is Model A?
17. 17.🎯 Ishaan’s handwriting reader is 70% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
18. 18.📦 Kabir collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Meera’s handwriting reader was tested on 20 new handwritten letters and got 15 right. What is its accuracy in percent?
20. 20.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
21. 21.🎯 Ishaan’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
22. 22.📋 Planning an AI project: which comes first — label each example or train the model? (a) label each example (b) train the model
23. 23.🎯 Ananya’s fruit sorter is 90% accurate. If it is tested on 50 new fruit photos, how many should it get right?
24. 24.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
25. 25.📋 Planning an AI project: which comes first — recheck every label or gather many examples? (a) recheck every label (b) gather many examples
26. 26.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) a louder speaker (d) fewer examples
27. 27.❌ Nisha’s leaf identifier was tested on 24 new leaf photos and got 15 right. How many did it get wrong?
28. 28.🎯 Aarav’s spam spotter is 70% accurate. If it is tested on 70 new messages, how many should it get right?
29. 29.🎯 Diya’s recycling sorter was tested on 50 new waste photos and got 34 right. What is its accuracy in percent?
30. 30.🎯 Ananya’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
31. 31.🎯 Diya’s spam spotter is 70% accurate. If it is tested on 10 new messages, how many should it get right?
32. 32.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
33. 33.🎯 Ananya’s handwriting reader is 80% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
34. 34.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 21 right and Model B got 13 right. How many percentage points more accurate is Model A?
35. 35.🎯 Vihaan’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
36. 36.📦 Ishaan collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
37. 37.📦 Ananya collected 110 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
38. 38.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 20 right and Model B got 17 right. How many percentage points more accurate is Model A?
39. 39.🎯 Kabir’s leaf identifier was tested on 20 new leaf photos and got 13 right. What is its accuracy in percent?
40. 40.🎯 Rohan’s recycling sorter is 80% accurate. If it is tested on 10 new waste photos, how many should it get right?

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