Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 782 · 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.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 21 right and Model B got 20 right. How many percentage points more accurate is Model A?
2. 2.❌ Vihaan’s leaf identifier was tested on 20 new leaf photos and got 11 right. How many did it get wrong?
3. 3.❌ Rohan’s fruit sorter was tested on 44 new fruit photos and got 35 right. How many did it get wrong?
4. 4.📦 Ishaan collected 180 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
5. 5.📋 Planning an AI project: which comes first — pick a question to solve or train the model? (a) pick a question to solve (b) train the model
6. 6.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
7. 7.🎯 Vihaan’s recycling sorter is 80% accurate. If it is tested on 10 new waste photos, how many should it get right?
8. 8.🎯 Arjun’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
9. 9.📋 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
10. 10.🎯 Rohan’s leaf identifier was tested on 25 new leaf photos and got 14 right. What is its accuracy in percent?
11. 11.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 48 right and Model B got 46 right. How many percentage points more accurate is Model A?
12. 12.🧪 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
13. 13.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) total × 2 (d) correct + total
14. 14.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
15. 15.🎯 Saanvi’s handwriting reader is 80% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
16. 16.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 50 right and Model B got 49 right. How many percentage points more accurate is Model A?
17. 17.❌ Ananya’s handwriting reader was tested on 44 new handwritten letters and got 42 right. How many did it get wrong?
18. 18.🎯 Ananya’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
19. 19.📋 Planning an AI project: which comes first — collect fruit photos or work out the accuracy? (a) collect fruit photos (b) work out the accuracy
20. 20.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to save paper (d) to make it bigger
21. 21.📦 Nisha collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
22. 22.🎯 Nisha’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
23. 23.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
24. 24.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) a louder speaker (d) more labelled examples
25. 25.🎯 Arjun’s recycling sorter is 80% accurate. If it is tested on 90 new waste photos, how many should it get right?
26. 26.🎯 Meera’s bird-song app was tested on 20 new bird songs and got 17 right. What is its accuracy in percent?
27. 27.❌ Ananya’s recycling sorter was tested on 42 new waste photos and got 41 right. How many did it get wrong?
28. 28.🎯 Meera’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — fix it and test again or set aside test photos? (a) fix it and test again (b) set aside test photos
30. 30.📋 Planning an AI project: which comes first — gather many examples or tag each photo by type? (a) gather many examples (b) tag each photo by type
31. 31.📋 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
32. 32.🎯 Ishaan’s bird-song app was tested on 25 new bird songs and got 16 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — collect fruit photos or choose what to sort? (a) collect fruit photos (b) choose what to sort
34. 34.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
35. 35.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
36. 36.🎯 Tara’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
37. 37.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
38. 38.🎯 Rohan’s recycling sorter is 80% accurate. If it is tested on 20 new waste photos, how many should it get right?
39. 39.❌ Saanvi’s fruit sorter was tested on 19 new fruit photos and got 15 right. How many did it get wrong?
40. 40.📦 Kabir collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?

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