Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 336 · 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 — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
2. 2.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to see if it learned (d) to save paper
3. 3.🧪 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
4. 4.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 24 right and Model B got 21 right. How many percentage points more accurate is Model A?
5. 5.📋 Planning an AI project: which comes first — correct bad labels or train the model? (a) correct bad labels (b) train the model
6. 6.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
7. 7.🎯 Kabir’s handwriting reader was tested on 20 new handwritten letters and got 12 right. What is its accuracy in percent?
8. 8.📋 Planning an AI project: which comes first — label each example or calculate percent right? (a) label each example (b) calculate percent right
9. 9.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
10. 10.🎯 Vihaan’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
11. 11.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
12. 12.❌ Tara’s fruit sorter was tested on 22 new fruit photos and got 18 right. How many did it get wrong?
13. 13.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 48 right and Model B got 33 right. How many percentage points more accurate is Model A?
14. 14.🎯 Rohan’s fruit sorter is 70% accurate. If it is tested on 80 new fruit photos, how many should it get right?
15. 15.🎯 Diya’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
16. 16.🎯 Rohan’s fruit sorter is 50% accurate. If it is tested on 30 new fruit photos, how many should it get right?
17. 17.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 16 right and Model B got 12 right. How many percentage points more accurate is Model A?
18. 18.📦 Kabir collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
20. 20.📦 Vihaan collected 130 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
21. 21.📦 Nisha collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
22. 22.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
23. 23.📦 Rohan collected 90 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
24. 24.🎯 Arjun’s handwriting reader is 60% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
25. 25.❌ Meera’s leaf identifier was tested on 30 new leaf photos and got 28 right. How many did it get wrong?
26. 26.🎯 Rohan’s fruit sorter is 70% accurate. If it is tested on 10 new fruit photos, how many should it get right?
27. 27.📋 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
28. 28.❌ Ananya’s spam spotter was tested on 21 new messages and got 12 right. How many did it get wrong?
29. 29.❌ Rohan’s fruit sorter was tested on 41 new fruit photos and got 34 right. How many did it get wrong?
30. 30.❌ Ishaan’s recycling sorter was tested on 34 new waste photos and got 29 right. How many did it get wrong?
31. 31.🎯 Meera’s handwriting reader was tested on 25 new handwritten letters and got 25 right. What is its accuracy in percent?
32. 32.❌ Tara’s fruit sorter was tested on 21 new fruit photos and got 13 right. How many did it get wrong?
33. 33.📋 Planning an AI project: which comes first — choose what to sort or collect fruit photos? (a) choose what to sort (b) collect fruit photos
34. 34.🎯 Meera’s recycling sorter is 50% accurate. If it is tested on 40 new waste photos, how many should it get right?
35. 35.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
36. 36.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
37. 37.❌ Rohan’s fruit sorter was tested on 17 new fruit photos and got 15 right. How many did it get wrong?
38. 38.📋 Planning an AI project: which comes first — gather many examples or split train and test? (a) gather many examples (b) split train and test
39. 39.📦 Arjun collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
40. 40.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model

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