Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 951 · 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.📦 Arjun collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
2. 2.🧪 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
3. 3.❌ Ishaan’s leaf identifier was tested on 44 new leaf photos and got 40 right. How many did it get wrong?
4. 4.📦 Diya collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
5. 5.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
6. 6.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
7. 7.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 43 right and Model B got 27 right. How many percentage points more accurate is Model A?
8. 8.🎯 Ananya’s leaf identifier was tested on 50 new leaf photos and got 48 right. What is its accuracy in percent?
9. 9.🎯 Nisha’s spam spotter is 90% accurate. If it is tested on 100 new messages, how many should it get right?
10. 10.🎯 Kabir’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
11. 11.❌ Aarav’s recycling sorter was tested on 24 new waste photos and got 19 right. How many did it get wrong?
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.🎯 Nisha’s leaf identifier was tested on 25 new leaf photos and got 18 right. What is its accuracy in percent?
14. 14.📦 Kabir collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
15. 15.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
16. 16.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
17. 17.⚖️ 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?
18. 18.❌ Diya’s leaf identifier was tested on 27 new leaf photos and got 18 right. How many did it get wrong?
19. 19.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) correct + total (d) total × 2
20. 20.📦 Saanvi collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
21. 21.❌ Kabir’s handwriting reader was tested on 47 new handwritten letters and got 44 right. How many did it get wrong?
22. 22.❌ Diya’s spam spotter was tested on 26 new messages and got 21 right. How many did it get wrong?
23. 23.🎯 Nisha’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
24. 24.📦 Vihaan collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
25. 25.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 19 right and Model B got 14 right. How many percentage points more accurate is Model A?
26. 26.🎯 Saanvi’s leaf identifier was tested on 20 new leaf photos and got 15 right. What is its accuracy in percent?
27. 27.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) a new colour screen (d) more labelled examples
28. 28.📦 Aarav collected 40 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
29. 29.🎯 Rohan’s leaf identifier was tested on 10 new leaf photos and got 9 right. What is its accuracy in percent?
30. 30.❌ Ishaan’s spam spotter was tested on 20 new messages and got 13 right. How many did it get wrong?
31. 31.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
32. 32.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
33. 33.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
34. 34.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again
35. 35.📋 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
36. 36.📦 Saanvi collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
37. 37.🎯 Diya’s bird-song app is 80% accurate. If it is tested on 40 new bird songs, how many should it get right?
38. 38.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
39. 39.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
40. 40.🎯 Meera’s leaf identifier was tested on 50 new leaf photos and got 25 right. What is its accuracy in percent?

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