Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 186 · 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.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
2. 2.🎯 Saanvi’s recycling sorter is 80% accurate. If it is tested on 80 new waste photos, how many should it get right?
3. 3.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 15 right and Model B got 11 right. How many percentage points more accurate is Model A?
4. 4.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
5. 5.📋 Planning an AI project: which comes first — fix it and test again or correct bad labels? (a) fix it and test again (b) correct bad labels
6. 6.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) paper and examples (d) a secret password
7. 7.🎯 Nisha’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
8. 8.📦 Tara collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
9. 9.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
10. 10.📋 Planning an AI project: which comes first — calculate percent right or tag each photo by type? (a) calculate percent right (b) tag each photo by type
11. 11.📦 Kabir collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
12. 12.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 21 right and Model B got 18 right. How many percentage points more accurate is Model A?
13. 13.🎯 Rohan’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
14. 14.🎯 Tara’s recycling sorter is 60% accurate. If it is tested on 40 new waste photos, how many should it get right?
15. 15.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
16. 16.📦 Nisha collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
17. 17.📦 Kabir collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
18. 18.🎯 Diya’s spam spotter was tested on 50 new messages and got 26 right. What is its accuracy in percent?
19. 19.🎯 Aarav’s recycling sorter is 70% accurate. If it is tested on 90 new waste photos, how many should it get right?
20. 20.🎯 Kabir’s bird-song app was tested on 50 new bird songs and got 28 right. What is its accuracy in percent?
21. 21.🎯 Diya’s spam spotter was tested on 10 new messages and got 8 right. What is its accuracy in percent?
22. 22.📦 Meera collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
23. 23.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 43 right and Model B got 25 right. How many percentage points more accurate is Model A?
24. 24.❌ Tara’s leaf identifier was tested on 16 new leaf photos and got 15 right. How many did it get wrong?
25. 25.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
26. 26.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
27. 27.🎯 Diya’s recycling sorter is 50% accurate. If it is tested on 90 new waste photos, how many should it get right?
28. 28.🎯 Ishaan’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
29. 29.📦 Diya collected 100 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
30. 30.📦 Rohan collected 100 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
31. 31.❌ Arjun’s leaf identifier was tested on 49 new leaf photos and got 45 right. How many did it get wrong?
32. 32.📋 Planning an AI project: which comes first — pick a question to solve or tag each photo by type? (a) pick a question to solve (b) tag each photo by type
33. 33.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
34. 34.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
35. 35.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
36. 36.❌ Ishaan’s fruit sorter was tested on 26 new fruit photos and got 22 right. How many did it get wrong?
37. 37.📋 Planning an AI project: which comes first — choose what to sort or test on new photos? (a) choose what to sort (b) test on new photos
38. 38.❌ Kabir’s spam spotter was tested on 35 new messages and got 29 right. How many did it get wrong?
39. 39.📋 Planning an AI project: which comes first — tag each photo by type or correct bad labels? (a) tag each photo by type (b) correct bad labels
40. 40.🎯 Kabir’s bird-song app was tested on 25 new bird songs and got 13 right. What is its accuracy in percent?

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