Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 854 · 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) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
2. 2.📋 Planning an AI project: which comes first — recheck every label or fix it and test again? (a) recheck every label (b) fix it and test again
3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
4. 4.❌ Nisha’s leaf identifier was tested on 33 new leaf photos and got 32 right. How many did it get wrong?
5. 5.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
6. 6.🎯 Ishaan’s bird-song app was tested on 50 new bird songs and got 31 right. What is its accuracy in percent?
7. 7.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) paper and examples (d) a secret password
8. 8.🎯 Ananya’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
9. 9.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 23 right and Model B got 16 right. How many percentage points more accurate is Model A?
10. 10.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
11. 11.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 17 right. How many percentage points more accurate is Model A?
12. 12.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
13. 13.🎯 Saanvi’s leaf identifier is 90% accurate. If it is tested on 90 new leaf photos, how many should it get right?
14. 14.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
15. 15.🎯 Ishaan’s fruit sorter was tested on 10 new fruit photos and got 5 right. What is its accuracy in percent?
16. 16.❌ Diya’s leaf identifier was tested on 31 new leaf photos and got 30 right. How many did it get wrong?
17. 17.🎯 Saanvi’s fruit sorter is 60% accurate. If it is tested on 40 new fruit photos, how many should it get right?
18. 18.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
19. 19.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 16 right and Model B got 15 right. How many percentage points more accurate is Model A?
20. 20.📋 Planning an AI project: which comes first — recheck every label or collect fruit photos? (a) recheck every label (b) collect fruit photos
21. 21.🎯 Ishaan’s handwriting reader was tested on 10 new handwritten letters and got 7 right. What is its accuracy in percent?
22. 22.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 46 right and Model B got 42 right. How many percentage points more accurate is Model A?
23. 23.🎯 Ananya’s fruit sorter is 60% accurate. If it is tested on 50 new fruit photos, how many should it get right?
24. 24.🎯 Diya’s handwriting reader was tested on 10 new handwritten letters and got 8 right. What is its accuracy in percent?
25. 25.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
26. 26.📋 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
27. 27.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 40 right and Model B got 30 right. How many percentage points more accurate is Model A?
28. 28.❌ Arjun’s fruit sorter was tested on 44 new fruit photos and got 39 right. How many did it get wrong?
29. 29.🎯 Arjun’s leaf identifier is 90% accurate. If it is tested on 90 new leaf photos, how many should it get right?
30. 30.🎯 Saanvi’s recycling sorter is 80% accurate. If it is tested on 70 new waste photos, how many should it get right?
31. 31.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
32. 32.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
33. 33.🎯 Tara’s leaf identifier is 80% accurate. If it is tested on 40 new leaf photos, how many should it get right?
34. 34.📦 Kabir collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
35. 35.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
36. 36.🎯 Rohan’s bird-song app is 70% accurate. If it is tested on 40 new bird songs, how many should it get right?
37. 37.❌ Meera’s spam spotter was tested on 37 new messages and got 28 right. How many did it get wrong?
38. 38.📋 Planning an AI project: which comes first — let it learn patterns or collect fruit photos? (a) let it learn patterns (b) collect fruit photos
39. 39.📋 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
40. 40.❌ Meera’s spam spotter was tested on 18 new messages and got 14 right. How many did it get wrong?

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