Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 266 · 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 — tag each photo by type or train the model? (a) tag each photo by type (b) train the model
2. 2.🧪 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
3. 3.📋 Planning an AI project: which comes first — tag each photo by type or choose what to sort? (a) tag each photo by type (b) choose what to sort
4. 4.🎯 Aarav’s fruit sorter is 90% accurate. If it is tested on 20 new fruit photos, how many should it get right?
5. 5.📦 Meera collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to make it bigger (d) to save paper
7. 7.🎯 Nisha’s bird-song app was tested on 10 new bird songs and got 9 right. What is its accuracy in percent?
8. 8.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
9. 9.🎯 Meera’s recycling sorter is 50% accurate. If it is tested on 50 new waste photos, how many should it get right?
10. 10.❌ Vihaan’s handwriting reader was tested on 37 new handwritten letters and got 36 right. How many did it get wrong?
11. 11.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
12. 12.🎯 Vihaan’s leaf identifier is 70% accurate. If it is tested on 60 new leaf photos, how many should it get right?
13. 13.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) correct + total (d) total × 2
14. 14.🎯 Tara’s bird-song app is 50% accurate. If it is tested on 50 new bird songs, how many should it get right?
15. 15.❌ Saanvi’s spam spotter was tested on 31 new messages and got 26 right. How many did it get wrong?
16. 16.❌ Aarav’s recycling sorter was tested on 41 new waste photos and got 32 right. How many did it get wrong?
17. 17.📦 Nisha collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
18. 18.📋 Planning an AI project: which comes first — pick a question to solve or gather many examples? (a) pick a question to solve (b) gather many examples
19. 19.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
20. 20.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
21. 21.📋 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
22. 22.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
23. 23.📋 Planning an AI project: which comes first — choose what to sort or recheck every label? (a) choose what to sort (b) recheck every label
24. 24.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
25. 25.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
26. 26.📋 Planning an AI project: which comes first — test on new photos or set aside test photos? (a) test on new photos (b) set aside test photos
27. 27.❌ Vihaan’s fruit sorter was tested on 26 new fruit photos and got 18 right. How many did it get wrong?
28. 28.🎯 Kabir’s bird-song app was tested on 25 new bird songs and got 21 right. What is its accuracy in percent?
29. 29.🎯 Meera’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
30. 30.❌ Vihaan’s recycling sorter was tested on 48 new waste photos and got 42 right. How many did it get wrong?
31. 31.❌ Kabir’s fruit sorter was tested on 19 new fruit photos and got 10 right. How many did it get wrong?
32. 32.🎯 Ishaan’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
34. 34.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
35. 35.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
36. 36.🎯 Meera’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
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.📦 Nisha collected 100 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
39. 39.🎯 Nisha’s leaf identifier was tested on 25 new leaf photos and got 14 right. What is its accuracy in percent?
40. 40.🎯 Meera’s handwriting reader was tested on 20 new handwritten letters and got 10 right. What is its accuracy in percent?

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