Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 203 · 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.📋 Planning an AI project: which comes first — collect fruit photos or set aside test photos? (a) collect fruit photos (b) set aside test photos
2. 2.📋 Planning an AI project: which comes first — calculate percent right or gather many examples? (a) calculate percent right (b) gather many examples
3. 3.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
4. 4.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
5. 5.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
6. 6.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) a secret password (d) nothing at all
7. 7.❌ Tara’s handwriting reader was tested on 32 new handwritten letters and got 26 right. How many did it get wrong?
8. 8.🧪 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
9. 9.❌ Kabir’s bird-song app was tested on 39 new bird songs and got 35 right. How many did it get wrong?
10. 10.🎯 Nisha’s leaf identifier was tested on 50 new leaf photos and got 44 right. What is its accuracy in percent?
11. 11.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
12. 12.🎯 Aarav’s bird-song app is 70% accurate. If it is tested on 90 new bird songs, how many should it get right?
13. 13.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it bigger (d) to make it faster
14. 14.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
15. 15.🎯 Nisha’s leaf identifier is 50% accurate. If it is tested on 20 new leaf photos, how many should it get right?
16. 16.🎯 Meera’s leaf identifier was tested on 20 new leaf photos and got 11 right. What is its accuracy in percent?
17. 17.🎯 Kabir’s fruit sorter is 90% accurate. If it is tested on 10 new fruit photos, how many should it get right?
18. 18.🎯 Ishaan’s fruit sorter is 60% accurate. If it is tested on 60 new fruit photos, how many should it get right?
19. 19.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
20. 20.❌ Saanvi’s recycling sorter was tested on 40 new waste photos and got 38 right. How many did it get wrong?
21. 21.❌ Ishaan’s handwriting reader was tested on 16 new handwritten letters and got 14 right. How many did it get wrong?
22. 22.🎯 Aarav’s bird-song app was tested on 50 new bird songs and got 35 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
24. 24.📋 Planning an AI project: which comes first — gather many examples or let it learn patterns? (a) gather many examples (b) let it learn patterns
25. 25.⚖️ 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?
26. 26.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
27. 27.📋 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
28. 28.❌ Ananya’s recycling sorter was tested on 35 new waste photos and got 34 right. How many did it get wrong?
29. 29.🎯 Meera’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
30. 30.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total − correct (d) total × 2
31. 31.📦 Ishaan collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
32. 32.❌ Aarav’s bird-song app was tested on 30 new bird songs and got 29 right. How many did it get wrong?
33. 33.📋 Planning an AI project: which comes first — train the model or gather many examples? (a) train the model (b) gather many examples
34. 34.📋 Planning an AI project: which comes first — let it learn patterns or set aside test photos? (a) let it learn patterns (b) set aside test photos
35. 35.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
36. 36.🎯 Kabir’s fruit sorter is 70% accurate. If it is tested on 10 new fruit photos, how many should it get right?
37. 37.🎯 Meera’s bird-song app was tested on 10 new bird songs and got 10 right. What is its accuracy in percent?
38. 38.📦 Tara collected 90 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
39. 39.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
40. 40.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?

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