Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 257 · 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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a new colour screen (d) a louder speaker
2. 2.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
3. 3.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
4. 4.📋 Planning an AI project: which comes first — split train and test or tag each photo by type? (a) split train and test (b) tag each photo by type
5. 5.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) only a big robot (d) a secret password
6. 6.🎯 Ananya’s spam spotter is 70% accurate. If it is tested on 70 new messages, how many should it get right?
7. 7.📦 Aarav collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
8. 8.📋 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
9. 9.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 22 right and Model B got 16 right. How many percentage points more accurate is Model A?
10. 10.🎯 Arjun’s bird-song app is 60% accurate. If it is tested on 50 new bird songs, how many should it get right?
11. 11.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 37 right and Model B got 25 right. How many percentage points more accurate is Model A?
12. 12.📋 Planning an AI project: which comes first — collect fruit photos or train the model? (a) collect fruit photos (b) train the model
13. 13.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
14. 14.❌ Meera’s spam spotter was tested on 41 new messages and got 36 right. How many did it get wrong?
15. 15.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
16. 16.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
17. 17.🎯 Aarav’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
18. 18.📦 Aarav collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
20. 20.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to save paper (d) to see if it learned
21. 21.❌ Saanvi’s recycling sorter was tested on 33 new waste photos and got 28 right. How many did it get wrong?
22. 22.📋 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
23. 23.📦 Tara collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 Planning an AI project: which comes first — work out the accuracy or pick a question to solve? (a) work out the accuracy (b) pick a question to solve
25. 25.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
26. 26.🎯 Kabir’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
27. 27.🎯 Kabir’s fruit sorter is 80% accurate. If it is tested on 80 new fruit photos, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — pick a question to solve or set aside test photos? (a) pick a question to solve (b) set aside test photos
29. 29.📋 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
30. 30.🎯 Meera’s leaf identifier was tested on 20 new leaf photos and got 17 right. What is its accuracy in percent?
31. 31.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
32. 32.🎯 Diya’s bird-song app was tested on 50 new bird songs and got 32 right. What is its accuracy in percent?
33. 33.📦 Kabir collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
34. 34.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
35. 35.🎯 Aarav’s recycling sorter is 80% accurate. If it is tested on 70 new waste photos, how many should it get right?
36. 36.🎯 Diya’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
37. 37.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
38. 38.🎯 Rohan’s handwriting reader is 60% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
39. 39.❌ Diya’s bird-song app was tested on 47 new bird songs and got 40 right. How many did it get wrong?
40. 40.🎯 Vihaan’s recycling sorter was tested on 25 new waste photos and got 16 right. What is its accuracy in percent?

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