Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 609 · 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) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
2. 2.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
3. 3.🎯 Meera’s fruit sorter is 90% accurate. If it is tested on 50 new fruit photos, how many should it get right?
4. 4.🎯 Ananya’s recycling sorter is 90% accurate. If it is tested on 60 new waste photos, how many should it get right?
5. 5.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
6. 6.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
7. 7.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model
8. 8.❌ Kabir’s spam spotter was tested on 21 new messages and got 13 right. How many did it get wrong?
9. 9.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
10. 10.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
11. 11.🎯 Ishaan’s fruit sorter is 50% accurate. If it is tested on 60 new fruit photos, how many should it get right?
12. 12.📋 Planning an AI project: which comes first — test on new photos or tag each photo by type? (a) test on new photos (b) tag each photo by type
13. 13.📋 Planning an AI project: which comes first — choose what to sort or let it learn patterns? (a) choose what to sort (b) let it learn patterns
14. 14.❌ Ishaan’s recycling sorter was tested on 37 new waste photos and got 29 right. How many did it get wrong?
15. 15.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
16. 16.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 16 right and Model B got 15 right. How many percentage points more accurate is Model A?
17. 17.❌ Ananya’s bird-song app was tested on 49 new bird songs and got 42 right. How many did it get wrong?
18. 18.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
19. 19.🎯 Arjun’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
20. 20.📦 Saanvi collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
21. 21.❌ Rohan’s fruit sorter was tested on 42 new fruit photos and got 37 right. How many did it get wrong?
22. 22.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
23. 23.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
24. 24.📦 Diya collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
25. 25.🎯 Tara’s leaf identifier is 70% accurate. If it is tested on 30 new leaf photos, how many should it get right?
26. 26.📋 Planning an AI project: which comes first — try unseen examples or label each example? (a) try unseen examples (b) label each example
27. 27.🎯 Arjun’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
28. 28.🎯 Ishaan’s recycling sorter was tested on 50 new waste photos and got 25 right. What is its accuracy in percent?
29. 29.❌ Tara’s fruit sorter was tested on 35 new fruit photos and got 27 right. How many did it get wrong?
30. 30.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
31. 31.🎯 Nisha’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
32. 32.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
33. 33.📦 Kabir collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
34. 34.📋 Planning an AI project: which comes first — let it learn patterns or tag each photo by type? (a) let it learn patterns (b) tag each photo by type
35. 35.🎯 Vihaan’s fruit sorter was tested on 50 new fruit photos and got 43 right. What is its accuracy in percent?
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.📦 Arjun collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
38. 38.❌ Saanvi’s fruit sorter was tested on 20 new fruit photos and got 19 right. How many did it get wrong?
39. 39.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
40. 40.🎯 Kabir’s fruit sorter was tested on 50 new fruit photos and got 30 right. What is its accuracy in percent?

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