Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 137 · 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.📦 Nisha collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
2. 2.🧪 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
3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) a new colour screen (d) more labelled examples
4. 4.❌ Saanvi’s fruit sorter was tested on 39 new fruit photos and got 37 right. How many did it get wrong?
5. 5.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
6. 6.📦 Aarav collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
7. 7.📦 Ishaan collected 70 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 — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
9. 9.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
10. 10.📦 Nisha collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
11. 11.🎯 Meera’s bird-song app was tested on 25 new bird songs and got 17 right. What is its accuracy in percent?
12. 12.🎯 Kabir’s recycling sorter was tested on 10 new waste photos and got 5 right. What is its accuracy in percent?
13. 13.📋 Planning an AI project: which comes first — collect fruit photos or work out the accuracy? (a) collect fruit photos (b) work out the accuracy
14. 14.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
15. 15.🎯 Tara’s recycling sorter was tested on 25 new waste photos and got 14 right. What is its accuracy in percent?
16. 16.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
17. 17.📋 Planning an AI project: which comes first — tag each photo by type or improve data, retest? (a) tag each photo by type (b) improve data, retest
18. 18.🎯 Saanvi’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
19. 19.📦 Kabir collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
20. 20.🎯 Aarav’s spam spotter is 50% accurate. If it is tested on 40 new messages, how many should it get right?
21. 21.📋 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
22. 22.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
23. 23.📋 Planning an AI project: which comes first — calculate percent right or tag each photo by type? (a) calculate percent right (b) tag each photo by type
24. 24.📦 Ananya collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
25. 25.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
26. 26.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
27. 27.📋 Planning an AI project: which comes first — gather many examples or set aside test photos? (a) gather many examples (b) set aside test photos
28. 28.📦 Rohan collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
29. 29.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
30. 30.📦 Tara collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
31. 31.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
32. 32.📋 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
33. 33.📦 Vihaan collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
34. 34.🎯 Vihaan’s handwriting reader is 60% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
35. 35.❌ Kabir’s leaf identifier was tested on 26 new leaf photos and got 20 right. How many did it get wrong?
36. 36.📋 Planning an AI project: which comes first — calculate percent right or pick a question to solve? (a) calculate percent right (b) pick a question to solve
37. 37.📦 Tara collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
38. 38.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
39. 39.📋 Planning an AI project: which comes first — gather many examples or calculate percent right? (a) gather many examples (b) calculate percent right
40. 40.🎯 Diya’s bird-song app is 50% accurate. If it is tested on 30 new bird songs, how many should it get right?

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