Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 860 · 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) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
2. 2.🎯 Arjun’s recycling sorter is 70% accurate. If it is tested on 80 new waste photos, how many should it get right?
3. 3.🎯 Ananya’s fruit sorter is 50% accurate. If it is tested on 100 new fruit photos, how many should it get right?
4. 4.❌ Aarav’s fruit sorter was tested on 37 new fruit photos and got 33 right. How many did it get wrong?
5. 5.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to save paper (d) to make it faster
7. 7.📋 Planning an AI project: which comes first — recheck every label or tag each photo by type? (a) recheck every label (b) tag each photo by type
8. 8.❌ Kabir’s fruit sorter was tested on 30 new fruit photos and got 24 right. How many did it get wrong?
9. 9.🧪 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
10. 10.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
11. 11.❌ Meera’s recycling sorter was tested on 48 new waste photos and got 47 right. How many did it get wrong?
12. 12.📋 Planning an AI project: which comes first — tag each photo by type or split train and test? (a) tag each photo by type (b) split train and test
13. 13.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
14. 14.📋 Planning an AI project: which comes first — choose what to sort or collect fruit photos? (a) choose what to sort (b) collect fruit photos
15. 15.🎯 Aarav’s fruit sorter is 50% accurate. If it is tested on 10 new fruit photos, how many should it get right?
16. 16.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
17. 17.❌ Ananya’s recycling sorter was tested on 45 new waste photos and got 43 right. How many did it get wrong?
18. 18.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
19. 19.📋 Planning an AI project: which comes first — choose what to sort or recheck every label? (a) choose what to sort (b) recheck every label
20. 20.📋 Planning an AI project: which comes first — split train and test or choose what to sort? (a) split train and test (b) choose what to sort
21. 21.❌ Kabir’s leaf identifier was tested on 29 new leaf photos and got 20 right. How many did it get wrong?
22. 22.🎯 Tara’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
23. 23.❌ Arjun’s spam spotter was tested on 26 new messages and got 23 right. How many did it get wrong?
24. 24.🎯 Arjun’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
25. 25.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
26. 26.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct ÷ total × 100 (d) correct + total
27. 27.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 45 right and Model B got 40 right. How many percentage points more accurate is Model A?
28. 28.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
29. 29.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
30. 30.❌ Kabir’s handwriting reader was tested on 40 new handwritten letters and got 33 right. How many did it get wrong?
31. 31.📦 Vihaan collected 100 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
32. 32.🎯 Ananya’s handwriting reader is 60% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
33. 33.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
34. 34.🎯 Arjun’s recycling sorter is 50% accurate. If it is tested on 100 new waste photos, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
36. 36.📋 Planning an AI project: which comes first — tag each photo by type or fix it and test again? (a) tag each photo by type (b) fix it and test again
37. 37.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
38. 38.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
39. 39.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
40. 40.🎯 Meera’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?

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