Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 492 · 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.🧪 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
2. 2.❌ Diya’s recycling sorter was tested on 24 new waste photos and got 22 right. How many did it get wrong?
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.🎯 Diya’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
5. 5.🎯 Aarav’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
6. 6.❌ Arjun’s spam spotter was tested on 21 new messages and got 18 right. How many did it get wrong?
7. 7.🎯 Kabir’s recycling sorter is 50% accurate. If it is tested on 70 new waste photos, how many should it get right?
8. 8.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
9. 9.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
10. 10.❌ Nisha’s spam spotter was tested on 22 new messages and got 20 right. How many did it get wrong?
11. 11.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total × 2 (d) total − correct
12. 12.❌ Aarav’s recycling sorter was tested on 31 new waste photos and got 22 right. How many did it get wrong?
13. 13.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
14. 14.🎯 Ananya’s fruit sorter was tested on 10 new fruit photos and got 9 right. What is its accuracy in percent?
15. 15.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 17 right. How many percentage points more accurate is Model A?
16. 16.🎯 Meera’s bird-song app was tested on 50 new bird songs and got 44 right. What is its accuracy in percent?
17. 17.🎯 Tara’s bird-song app is 60% accurate. If it is tested on 20 new bird songs, how many should it get right?
18. 18.❌ Arjun’s bird-song app was tested on 24 new bird songs and got 22 right. How many did it get wrong?
19. 19.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
20. 20.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
21. 21.📦 Ishaan collected 160 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
22. 22.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
23. 23.📋 Planning an AI project: which comes first — tag each photo by type or try unseen examples? (a) tag each photo by type (b) try unseen examples
24. 24.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 12 right. How many percentage points more accurate is Model A?
25. 25.🎯 Tara’s spam spotter is 70% accurate. If it is tested on 100 new messages, how many should it get right?
26. 26.📋 Planning an AI project: which comes first — tag each photo by type or calculate percent right? (a) tag each photo by type (b) calculate percent right
27. 27.🎯 Ananya’s recycling sorter was tested on 10 new waste photos and got 5 right. What is its accuracy in percent?
28. 28.📦 Diya collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
29. 29.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
30. 30.📋 Planning an AI project: which comes first — test on new photos or pick a question to solve? (a) test on new photos (b) pick a question to solve
31. 31.❌ Nisha’s leaf identifier was tested on 14 new leaf photos and got 13 right. How many did it get wrong?
32. 32.📦 Tara collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
33. 33.📋 Planning an AI project: which comes first — split train and test or fix it and test again? (a) split train and test (b) fix it and test again
34. 34.🎯 Saanvi’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
35. 35.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
36. 36.❌ Kabir’s spam spotter was tested on 14 new messages and got 12 right. How many did it get wrong?
37. 37.📋 Planning an AI project: which comes first — label each example or train the model? (a) label each example (b) train the model
38. 38.🎯 Arjun’s bird-song app is 50% accurate. If it is tested on 80 new bird songs, how many should it get right?
39. 39.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 16 right and Model B got 15 right. How many percentage points more accurate is Model A?
40. 40.📋 Planning an AI project: which comes first — split train and test or tag each photo by type? (a) split train and test (b) tag each photo by type

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