Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 262 · 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) a secret password (b) paper and examples (c) nothing at all (d) only a big robot
2. 2.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it faster (d) to make it bigger
3. 3.❌ Tara’s recycling sorter was tested on 23 new waste photos and got 21 right. How many did it get wrong?
4. 4.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) more labelled examples (d) fewer examples
6. 6.🎯 Meera’s leaf identifier is 80% accurate. If it is tested on 10 new leaf photos, how many should it get right?
7. 7.🎯 Rohan’s recycling sorter was tested on 10 new waste photos and got 5 right. What is its accuracy in percent?
8. 8.📋 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
9. 9.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
10. 10.🎯 Rohan’s recycling sorter is 80% accurate. If it is tested on 80 new waste photos, how many should it get right?
11. 11.🎯 Kabir’s fruit sorter was tested on 10 new fruit photos and got 9 right. What is its accuracy in percent?
12. 12.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
13. 13.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
14. 14.❌ Tara’s recycling sorter was tested on 24 new waste photos and got 18 right. How many did it get wrong?
15. 15.❌ Nisha’s recycling sorter was tested on 33 new waste photos and got 29 right. How many did it get wrong?
16. 16.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
17. 17.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
18. 18.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 18 right and Model B got 15 right. How many percentage points more accurate is Model A?
19. 19.📋 Planning an AI project: which comes first — recheck every label or tag each photo by type? (a) recheck every label (b) tag each photo by type
20. 20.📦 Ananya collected 40 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
21. 21.🎯 Ananya’s recycling sorter was tested on 20 new waste photos and got 18 right. What is its accuracy in percent?
22. 22.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 14 right and Model B got 10 right. How many percentage points more accurate is Model A?
23. 23.🎯 Rohan’s spam spotter was tested on 50 new messages and got 29 right. What is its accuracy in percent?
24. 24.📋 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
25. 25.🎯 Vihaan’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
26. 26.📦 Nisha collected 190 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
27. 27.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 25 right and Model B got 20 right. How many percentage points more accurate is Model A?
28. 28.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 17 right and Model B got 13 right. How many percentage points more accurate is Model A?
29. 29.🎯 Vihaan’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
30. 30.🎯 Meera’s fruit sorter is 50% accurate. If it is tested on 60 new fruit photos, how many should it get right?
31. 31.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
32. 32.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
33. 33.🎯 Tara’s fruit sorter is 90% accurate. If it is tested on 50 new fruit photos, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
35. 35.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
36. 36.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
37. 37.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
38. 38.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
39. 39.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
40. 40.🎯 Rohan’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?

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