Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 7 · 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 — test on new photos or train the model? (a) test on new photos (b) train the model
2. 2.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
3. 3.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
4. 4.❌ Arjun’s leaf identifier was tested on 45 new leaf photos and got 38 right. How many did it get wrong?
5. 5.🎯 Ishaan’s leaf identifier was tested on 50 new leaf photos and got 39 right. What is its accuracy in percent?
6. 6.📦 Diya collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
7. 7.🎯 Ananya’s bird-song app was tested on 10 new bird songs and got 10 right. What is its accuracy in percent?
8. 8.❌ Tara’s spam spotter was tested on 16 new messages and got 10 right. How many did it get wrong?
9. 9.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
10. 10.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
11. 11.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
12. 12.🎯 Saanvi’s spam spotter is 80% accurate. If it is tested on 50 new messages, how many should it get right?
13. 13.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to save paper (d) to see if it learned
14. 14.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
15. 15.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
16. 16.📦 Diya collected 90 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
17. 17.📋 Planning an AI project: which comes first — calculate percent right or choose what to sort? (a) calculate percent right (b) choose what to sort
18. 18.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
19. 19.❌ Saanvi’s handwriting reader was tested on 35 new handwritten letters and got 29 right. How many did it get wrong?
20. 20.❌ Arjun’s handwriting reader was tested on 20 new handwritten letters and got 11 right. How many did it get wrong?
21. 21.🎯 Arjun’s spam spotter is 50% accurate. If it is tested on 60 new messages, how many should it get right?
22. 22.❌ Arjun’s fruit sorter was tested on 43 new fruit photos and got 38 right. How many did it get wrong?
23. 23.🧪 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
24. 24.❌ Tara’s leaf identifier was tested on 27 new leaf photos and got 21 right. How many did it get wrong?
25. 25.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 48 right and Model B got 45 right. How many percentage points more accurate is Model A?
26. 26.📦 Ishaan collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
27. 27.📋 Planning an AI project: which comes first — correct bad labels or fix it and test again? (a) correct bad labels (b) fix it and test again
28. 28.🎯 Ishaan’s bird-song app was tested on 20 new bird songs and got 15 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
30. 30.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
31. 31.📦 Diya collected 130 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
32. 32.📋 Planning an AI project: which comes first — tag each photo by type or test on new photos? (a) tag each photo by type (b) test on new photos
33. 33.📦 Nisha collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
34. 34.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 49 right and Model B got 36 right. How many percentage points more accurate is Model A?
35. 35.❌ Tara’s spam spotter was tested on 14 new messages and got 10 right. How many did it get wrong?
36. 36.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
37. 37.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
38. 38.📋 Planning an AI project: which comes first — correct bad labels or choose what to sort? (a) correct bad labels (b) choose what to sort
39. 39.❌ Vihaan’s leaf identifier was tested on 38 new leaf photos and got 35 right. How many did it get wrong?
40. 40.❌ Diya’s bird-song app was tested on 32 new bird songs and got 26 right. How many did it get wrong?

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